WSIS Action Line C8 Cultural diversity and identity, linguistic diversity and local content
This session focused on advancing multilingualism and linguistic diversity in the digital age, with particular attention to the challenges posed by artificial intelligence for low-resource and indigenous languages . Moderator David Castillo framed the discussion by noting that, despite two decades of progress under the WSIS framework, indigenous peoples and speakers of low-resource languages continue to face structural barriers to meaningful digital participation, and that the rapid rise of AI has deepened rather than closed these inequalities .
UNESCO Director Guilherme Canela emphasised that digital transformation cannot be truly inclusive if it is not multilingual, noting that more than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged . He stressed that AI presents both opportunities - such as documenting endangered languages and preserving oral traditions - and serious risks of reinforcing existing inequalities if language communities are excluded from the process from the outset . He also announced the launch of a quadriennial monitoring mechanism for UNESCO's 2003 Recommendation on Multilingualism, urging governments to participate in order to generate the evidence needed for better policy .
Valts Ernstreits, representing the UN Permanent Forum on Indigenous Issues, observed that of the world's approximately 7,000 languages, only around 1,000 possess the data infrastructure and computational resources necessary to participate meaningfully in AI-driven environments - leaving the remaining 6,000 structurally excluded from a technological transition that shows no signs of closing that gap.. He outlined the Global Roadmap for Multilingualism in the Digital Era, which addresses input (writing systems and digital data production), output (ensuring technologies support all languages by default), and community-led governance throughout the entire technology development process . ICANN's Elizabeth Oluoch reinforced the technical dimension, explaining that universal acceptance of domain names and email addresses in all scripts is essential to prevent digital exclusion, and called for multi-stakeholder collaboration across governments, technology developers, civil society, and international organisations .
Henri Monceau of the International Organisation of La Francophonie argued that AI has transformed multilingualism from a cultural concern into a democratic, scientific, and geopolitical imperative. Languages absent from AI training datasets risk becoming incapable of contributing to the production of knowledge itself . He called for a new generation of international governance, including a possible additional protocol to UNESCO's 2005 Convention on Cultural Diversity to address challenges specific to generative AI . The session concluded with audience questions on dialect preservation and community engagement, with panellists agreeing that digital technologies must be designed to serve language communities and that bottom-up, community-led governance remains a critical and underexplored area .
Overall Purpose
- The discussion was convened under WSIS Action Line C8 (Cultural Diversity and Identity, Linguistic Diversity and Local Content) to examine the state of multilingualism in the digital age, with particular focus on the challenges facing indigenous and low-resource languages, the role of AI in either deepening or bridging linguistic divides, and the policy and technical frameworks needed to ensure a truly inclusive digital future.
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Major Discussion Points
- The scale and urgency of the linguistic digital divide. Speakers emphasised that more than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged. A recent AI report noted that only 1,000 languages have the foundations to enter AI domains, and critically, the gap between those 1,000 and the remaining 6,000 is not narrowing despite rapid AI advancement. This structural barrier disproportionately affects indigenous and endangered language communities. - AI as both an opportunity and a threat to linguistic diversity. Panellists acknowledged that AI presents extraordinary opportunities - including documenting endangered languages, improving translation, and preserving oral traditions - but also risks reinforcing existing inequalities if digitally disadvantaged languages are excluded from training data and if communities are not involved from the outset. Henri Monceau argued that AI has fundamentally changed the meaning of multilingualism: languages absent from training datasets do not merely become less visible online, they become less capable of contributing to the production of knowledge itself, making linguistic diversity a democratic, scientific, and geopolitical imperative. - UNESCO's normative and monitoring frameworks as the foundation for action. Multiple speakers highlighted UNESCO's 2003 Recommendation on Multilingualism in Cyberspace, the International Decade of Indigenous Languages (2022-2032), and the newly developed Global Roadmap for Multilingualism in the Digital Era as key instruments. UNESCO is now launching a quadriennial monitoring mechanism and urging governments to submit national reports by February 2027, stressing that better evidence is essential to improving policy. A joint UNESCO-ICANN Policy Brief on Universal Acceptance was also highlighted as a practical framework for governments and the private sector. - Universal Acceptance (UA) as a technical prerequisite for multilingual digital inclusion. Elizabeth Oluoch of ICANN explained that internet users employing domain names and email addresses in non-Latin scripts routinely encounter technical barriers that prevent them from completing basic online transactions. ICANN has worked to implement Internationalised Domain Name (IDN) standards, resulting in over 150 IDN top-level domains representing 37 languages and 23 scripts, but achieving full Universal Acceptance requires coordinated action from governments, technology developers, civil society, and international organisations.
- The need for community-led governance and a new generation of international AI governance. Valts Ernstreits stressed that language communities must be involved throughout the entire technology development ecosystem - from conception to deployment - not only because they are rights holders and data stewards, but because creating technology for endangered languages is methodologically different and requires community knowledge. Henri Monceau called for a new generation of international governance, including a possible additional protocol to the UNESCO 2005 Convention on Cultural Diversity to address challenges posed by generative AI, such as fair remuneration for creators, transparency in training datasets, and the discoverability of multilingual content. ---
Overall Tone
- The overall tone of the discussion was constructive, collaborative, and earnest, with a clear sense of shared mission among all participants. Speakers were measured and professional throughout, reflecting the formal intergovernmental setting of a WSIS session. There was an undercurrent of urgency - particularly when discussing the widening gap between resource-rich and resource-poor languages in the AI era - but this was balanced by cautious optimism, with speakers pointing to existing normative frameworks, growing political momentum, and concrete initiatives as reasons for hope. The tone remained consistent throughout, though the Q&A segment introduced a slightly more conversational register as participants from the floor raised practical questions about dialects, urbanisation, and community mobilisation. The session concluded on an encouraging note, with speakers urging continued engagement and collaboration.
Expanded Summary: Multilingualism in the Digital Age - Advancing Cultural and Linguistic Diversity for an Inclusive, Human-Centred Information Society
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Session Context and Framing
This session was convened under WSIS Action Line C8 (Cultural Diversity and Identity, Linguistic Diversity and Local Content) and moderated by David Castillo Parra of UNESCO's headquarters in Paris . Opening the discussion, Castillo Parra situated the session at a timely juncture, noting that it followed the outcomes of the WSIS Plus 20 review, UNESCO's Global Roadmap for Multilingualism in the Digital Era, the Mundia Code 2025 [as mentioned in the session], and a newly published UNESCO-ICANN Policy Brief on Universal Acceptance . He framed the central challenge clearly: despite more than two decades of progress under the WSIS framework, indigenous peoples and speakers of low-resource languages continue to face structural barriers to meaningful digital participation, and the rapid rise of artificial intelligence has in many ways deepened these inequalities rather than closed them . Remote participants were invited to submit questions via the chat for inclusion in the Q&A segment .
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UNESCO's Opening Address: The Scale of the Challenge and the Role of AI
Guilherme Canela, Director for the Division for Digital Inclusion and Policies and Digital Transformation at UNESCO, delivered the session's keynote framing . He began by acknowledging the collaborative foundation upon which multilingualism must be built, noting that progress can only be achieved through the collective effort of governments, the technical community, academia, civil society, indigenous peoples, the private sector, and international organisations . He drew attention to UNESCO's 2003 Recommendation concerning the promotion and use of multilingualism and universal access to cyberspace - a normative instrument whose negotiations predated the formal launch of WSIS in Geneva - and observed that after more than two decades of implementation, there is a growing and encouraging uptick of interest in the topic . He also referenced the independent scientific panel's AI report, which had been presented at the broader WSIS week programme the previous morning, as providing valuable evidence on the intersection of AI and multilingualism .
Canela articulated the session's central thesis with clarity: digital transformation cannot be truly inclusive if it is not multilingual . He noted that while earlier discussions about multilingualism online focused on increasing content in different languages, the understanding has since deepened - multilingualism is ultimately about participation, ensuring that people can access and shape the digital society in their own languages and scripts, and govern their own data in their interactions with language models . Against this backdrop, the scale of the problem is stark: more than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged, lacking foundational tools ranging from keyboards and fonts to language datasets and digital services .
On the question of artificial intelligence, Canela offered a carefully balanced assessment. He acknowledged that AI presents extraordinary opportunities for language revitalisation - including documenting endangered languages, improving translation and transcription, creating language learning resources, and preserving oral traditions through searchable digital archives . However, he warned that AI also risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and, crucially, if indigenous and other language communities are not included in the conversation from the outset rather than at the end of the process . He was unequivocal that without investment in language documentation, digitalisation, community-led data, language infrastructure, and local capacity, AI cannot deliver inclusive outcomes . Language digitalisation, he argued, is fundamentally a partnership, and language communities must remain at the centre of decisions about how their languages enter the digital world . He also made an explicit business case for multilingualism, stating that inclusion is not merely a right of every individual speaking the world's 7,000-plus languages, but is also good for business - the more inclusive the digital environment, the more opportunities expand for everyone . He called on participants to stop treating multilingualism as a peripheral concern, emphasising that it is a central aspect of the development of digital technologies .
Canela also announced a significant institutional development: UNESCO is launching a Quadriennial Report and Monitoring Mechanism for the 2003 Recommendation, and strongly encouraged participants to engage their governments in submitting national reports . He stressed that without data and evidence, it is impossible to improve meaningful policies, and that the more governments report on these issues, the better UNESCO can provide targeted technical assistance . He concluded by proposing that the success of digital transformation should ultimately be measured not by connectivity or technological progress alone, but by participation - asking whether people can learn, create, access services, preserve their cultural heritage, and shape the digital future without leaving their language .
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The Global Roadmap for Multilingualism: Structural Barriers and the Path Forward
Valts Ernstreits, Director of the University of Latvia Livonian Institute and representative of the UN Permanent Forum on Indigenous Issues, brought both scholarly and personal experience to the discussion, drawing on his work to revitalise the Livonian language . He opened with a foundational premise: linguistic and cultural diversity is to humanity what biological diversity is to the planet, and just as biological diversity keeps the planet healthy, diversity of languages and cultures is essential to humanity's capacity to innovate and move forward . He observed that over the past three to four decades, the digital world has become a new reality - no longer a distant technology but an environment that permeates everyday life - and that this new domain must be protected for linguistic and cultural diversity at least to the same degree as the analogue world .
Ernstreits drew on a recent AI report presented at the Global Forum on AI the previous day to sharpen the empirical picture - the same report referenced by Canela earlier in the session. The report noted that out of 7,000 languages, approximately 1,000 have the foundations to enter AI domains - a figure that might appear promising at first glance . However, he reframed this statistic: it means that 6,000 languages - the absolute majority of the world's languages - do not have those foundations and cannot enter AI domains . These are disproportionately indigenous and severely or critically endangered languages . More alarmingly, the gap between the 1,000 AI-ready languages and the remaining 6,000 is not narrowing despite rapid AI advancements, pointing to a structural barrier that technology alone cannot resolve . This diagnosis - that the problem runs much deeper than technology - became a defining insight of the session.
Ernstreits then outlined the Global Roadmap for Multilingualism in the Digital Era, which he described as one of the most important initiatives for breaking down this structural barrier . The Roadmap emerged from the International Decade of Indigenous Languages (2022-2032) and draws a pathway for getting 6,000 languages into the digital domain through three interconnected dimensions: input, output, and process . The input phase addresses foundational requirements - writing systems, standardisation, and the ability to produce digital data - which many of the 6,000 languages currently lack entirely . The output phase requires that technology be multilingual by default, capable of accommodating any language within existing systems; Ernstreits illustrated the practical stakes with a personal example, noting that he cannot install a Livonian spell checker in Microsoft Word because the system simply does not allow it . The process dimension holds that language communities must be involved throughout the entire technology ecosystem, from the initial conception of a technology through to its deployment, not only because they are rights holders and resource holders requiring stewardship over data and solutions, but also because creating technology for endangered language communities is methodologically different and requires the communities' own knowledge . The Roadmap has been developed as a deliberately open document, designed to accommodate a grassroots approach and encourage diverse stakeholders to take initiative .
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UNESCO's Normative and Monitoring Work: Evidence for Better Policy
Dr Xiaohong Hu, Programme Specialist at UNESCO, joined the session remotely to elaborate on UNESCO's normative and monitoring work and its contribution to Action Line C8 . She confirmed that despite two decades of the WSIS process, the global digital divide and linguistic inequality continue to persist, with more than 2 billion people still unconnected, and that the scale of the linguistic digital divide is outstanding and even expanding in the AI era . She situated UNESCO's work within the framework of Article 19 of the Universal Declaration of Human Rights and the UNESCO Constitution, highlighting the 2003 Recommendation as a pioneering normative instrument , and noting that UNESCO also hosts the Secretariat of the UN International Decade of Indigenous Languages to network and empower indigenous communities .
On the monitoring mechanism, Hu provided practical details: the timeline requires governments to submit national reports via a comprehensive questionnaire by February 2027, but action is needed immediately . She highlighted that the questionnaire has been updated to reflect new digital and AI issues, including questions on the representation of language data and content, AI-related datasets and language resources, the adoption of universal acceptance and internationalised domain names, and national frameworks for linguistic data governance . She also noted that the Global Roadmap's 45 concrete stakeholder-driven actions have been recognised by the 35th Bureau of the UNESCO Information for All Programme, which recommends all member states and stakeholders implement them across their respective areas of work . She further highlighted UA Day as an effective initiative for advocacy and for translating the idea of universal acceptance into practical action in every country . She noted that the UNESCO-ICANN Policy Brief on Universal Acceptance had been launched in French at the AI Fanfuny forum convened by OIF the previous Friday, and that efforts are under way to translate it into additional languages . Additionally, Hu announced a joint UNESCO initiative with GovLab and Microsoft - the New Commons Incubator for Indigenous Languages and Culture - designed to enhance community capacity on data governance, with an open call for applications closing on 14 August .
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Universal Acceptance: The Technical Infrastructure of Multilingual Inclusion
Elizabeth Oluoch, Government and IGO Engagement Director at ICANN, addressed the technical and policy dimensions of universal acceptance - the principle that all valid domain names and email addresses, regardless of script or language, should function seamlessly across the internet . She opened by thanking UNESCO for the partnership in advancing multilingualism, including the recently published joint policy brief . She grounded her remarks in a concrete scenario: as millions of travellers use email to access airport Wi-Fi, purchase museum or ground transport tickets, and subscribe to local tourism information services, those using domain names and email addresses in non-Latin scripts routinely encounter technical barriers that prevent them from completing basic digital transactions, while users of standard English characters navigate these systems with ease . She noted that anyone using different scripts, internationalised domain names, or even newer top-level domains such as ".photography" might receive an error message and be unable to access the system - a practical illustration of how the absence of universal acceptance creates a tangible digital divide .
Oluoch made a principled argument for multilingualism rooted in the internet's own core values: the internet cannot maintain its fundamental attribute of openness by favouring a single language and script, and language barriers stifle its further growth . She cited the WSIS Plus 20 outcomes as reaffirming the importance of multilingualism and accessibility , and argued that multilingualism is not merely a feature of the internet but a benchmark of its success - the internet fulfils its purpose only when it empowers everyone to use it in their native languages . She recommended the UNESCO-ICANN Policy Brief on Universal Acceptance as a practical framework reflecting more than 25 years of collaborative effort by the technical community . She outlined ICANN's technical achievements: since 2003, ICANN has worked with its community to implement internationalised domain name (IDN) standards; in 2009, it launched the IDN Country Code Fast Track Programme; and the 2012 new gTLD programme further expanded multilingual domain names, delegating 90 IDN generic top-level domains . Today, 44 countries and territories have allocated 63 country code top-level domains in local scripts, and there are over 150 IDN top-level domains representing 37 languages and 23 scripts, unlocking millions of domain names worldwide . She described universal acceptance as more than a technical requirement - it is an enabler of social and economic opportunity, providing opportunities for global market expansion and allowing multilingual internet users to access e-commerce and connect with local communities .
On the path forward, Oluoch called for coordinated multi-stakeholder action: governments and regional organisations should embed universal acceptance and linguistic diversity into national digital strategies and public procurement; technology developers and service providers should treat universal acceptance as a foundational design principle rather than a niche feature; civil society and academia should raise awareness and partner with language communities; and international organisations should sensitise policymakers and drive multi-stakeholder collaboration .
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La Francophonie's Perspective: Epistemic Justice and a New Generation of Governance
Henri Monceau, Permanent Observer of the International Organisation of La Francophonie (OIF) to the UN in Geneva and Vienna, offered the session's most philosophically ambitious contribution . He began by acknowledging UNESCO's longstanding leadership and the visionary choice made at WSIS more than 20 years ago to recognise that an inclusive information society could not be built on technological infrastructure alone but also required cultural and linguistic diversity . He then argued that artificial intelligence has fundamentally changed both the scale and the nature of the challenge .
Monceau structured his remarks around several distinct themes. His first concerned the changed meaning of multilingualism in the AI era. Where the objective two decades ago was to ensure that every language could access the digital world, the ambition today must be greater: every language must also be able to shape artificial intelligence . Large language models no longer simply transmit information - they increasingly organise knowledge, summarise it, recommend it, and generate it . When the vast majority of languages are absent from training datasets, they do not merely become less visible in cyberspace; they become less capable of contributing to the production of knowledge itself . This is why multilingualism, in Monceau's formulation, is no longer only a cultural matter but has become a democratic, scientific, and geopolitical imperative .
His second theme introduced the concept of epistemic justice. Every language embodies a particular way of describing the world, and every culture carries unique categories of thought, memory, and knowledge . If AI systems are trained predominantly on a handful of dominant languages, the risk is not merely reduced linguistic diversity but a reduction in the diversity of human perspectives themselves . Tomorrow's cultural diversity will depend not only on what human beings create but on what artificial intelligence is capable of learning, aggregating, and processing . Linguistic diversity is therefore not peripheral to AI governance - it is one of its foundations .
His third theme highlighted existing solutions to which the OIF has contributed. He drew particular attention to discoverability - the ability to find content online without actively searching for it - as a strategic public policy objective . In the age of AI, creating cultural content is no longer sufficient; it must also be found, as recommendation algorithms, metadata, search engines, and generative AI increasingly determine what citizens read, watch, and listen to . The OIF has also worked to ensure that linguistic and cultural diversity became an explicit component of international digital governance, including during the negotiations of the Global Digital Compact . It has renewed its digital strategy to integrate AI as a strategic priority, launched a Francophonie Forum on Digital and AI Governance - the same forum at which the UNESCO-ICANN Policy Brief was launched in French the previous Friday - and established ongoing political dialogue among member states on AI governance . His conviction, expressed memorably, is that multilingualism is not about preserving the past but about preparing the future .
His fourth theme called for a new generation of international governance. While the UNESCO 2005 Convention on the Protection and Promotion of the Diversity of Cultural Expressions remains one of the greatest achievements of international cultural governance, generative AI raises questions that simply did not exist 20 years ago : how to preserve linguistic diversity when AI models are trained overwhelmingly on a limited number of languages; how to ensure fair remuneration for creators whose works contribute to AI training; how to guarantee transparency regarding training datasets and recommendation algorithms; and how to preserve authenticity, diversity, and discoverability in AI-mediated cultures . He highlighted a proposal from UNESCO's Reflection Group to develop an additional protocol to the 2005 Convention specifically addressing the challenges created by the digital environment and AI . He concluded with a challenge: the task is not to teach humanity to adapt to artificial intelligence, but to ensure that artificial intelligence learns from the full diversity of humanity .
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Areas of Emphasis Across Speakers
Across all speakers, a high degree of convergence emerged on the core diagnosis and broad direction of solutions. All agreed that the overwhelming majority of the world's languages remain excluded from meaningful digital participation , that AI represents both an opportunity and a risk for linguistic diversity , and that multilingualism is a prerequisite - not an afterthought - for meaningful digital inclusion . There was also strong agreement on the need for community involvement from the outset , multi-stakeholder collaboration , and the structural rather than merely technological nature of the barriers .
Within this shared framework, speakers brought complementary emphases. Canela foregrounded the extraordinary opportunities AI presents for language revitalisation alongside the risks of exclusion , while Ernstreits sharpened the empirical picture by noting that the gap between AI-ready and AI-excluded languages is not narrowing despite rapid advancement . Monceau extended this analysis further, arguing that AI has qualitatively transformed the stakes by making excluded languages less capable of contributing to knowledge production itself . On the question of solutions, Oluoch emphasised the importance of technical infrastructure and the concrete achievements of more than 25 years of collaborative work on internationalised domain names , while Monceau argued that new international legal instruments are also needed to address questions that existing frameworks were not designed to answer . These positions are complementary rather than contradictory, reflecting the multi-layered nature of the challenge. Ernstreits surfaced an important practical tension: while community-led governance is widely advocated across all speakers, there is insufficient understanding of how community-level decisions are actually made and how community governance is put into effect in practice .
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Audience Questions and Closing Discussion
The session's Q&A segment introduced two substantive questions from the floor. A representative of a Chinese youth delegation from Chengdu, Sichuan, raised the challenge of dialect preservation in the context of rapid urbanisation and population mobility, noting that younger generations increasingly use standardised Mandarin in daily life while local dialects carry vivid cultural memories and identities . He asked how digital and language technologies could be used to document, preserve, and revitalise local dialects while still supporting effective communication in modern society . Stephen Wyber of IFLA raised a complementary question about how local actors, community actors, and libraries could be brought together to take the decisions necessary to make multilingualism on the internet a practical reality, particularly in communities without established cultural institutions .
Ernstreits responded to the dialect question by acknowledging that urbanisation is a challenge many communities are experiencing, and that digital technologies can help by bringing scattered communities together - but only if those technologies are capable of working for those communities . He also directly addressed the governance question, noting that while there is much discussion of community-led governance and community involvement, there is not enough understanding of how community-level decisions are actually made and how community governance is put into effect - a subject requiring further exploration . An unidentified participant noted that awareness raising must be both top-down - working with policymakers and parliaments - and bottom-up - working with communities - and that tools such as the independent scientific panel's AI report provide valuable arguments and evidence for this work . Canela concluded by pointing to the International Decade of Indigenous Languages as a model for community engagement, noting that indigenous communities are well connected and are themselves driving the key topics of the conversation, offering a learning experience for libraries, archives, and other institutions .
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Key Outcomes and Unresolved Questions
The session produced several concrete action points. UNESCO's Quadriennial Monitoring Mechanism for the 2003 Recommendation is now under way, with governments urged to engage immediately ahead of the February 2027 reporting deadline . The Global Roadmap's 45 actions have received institutional endorsement from the UNESCO Information for All Programme . The UNESCO-ICANN Policy Brief on Universal Acceptance has been published and is being translated into additional languages . The New Commons Incubator for Indigenous Languages and Culture has been launched with an open call for applications . Governments, technology developers, civil society, and international organisations were each assigned specific roles in advancing universal acceptance .
Several significant questions remained unresolved. The structural barriers preventing 6,000 languages from entering digital and AI domains have been identified, but scalable mechanisms for dismantling them across diverse language communities remain underdeveloped . The practical implementation of community-led governance - specifically how communities actually make and enact decisions - is insufficiently understood . Questions of fair remuneration for creators contributing to AI training data, transparency in training datasets and recommendation algorithms, and the discoverability of multilingual content in AI-mediated environments were raised but not resolved . The proposal for an additional protocol to the 2005 Convention remains at an early stage . And the tension between the practical benefits of linguistic standardisation and the cultural imperative of dialect preservation - illustrated vividly by the question from the Chinese youth delegation - was acknowledged but not fully addressed within the time available .
The session's overall tone was constructive and collaborative, with a shared sense of mission across speakers from diverse institutional backgrounds. The convergence of technical, normative, cultural, and community perspectives on both the diagnosis and the broad direction of solutions reflected a field that has reached a mature stage of shared understanding. The primary obstacles to progress, as the discussion made clear, are not disagreements about goals or principles but the structural, financial, and capacity barriers that prevent the majority of the world's languages from crossing into the digital domain - and the urgent need to ensure that the rapid development of artificial intelligence does not permanently foreclose that possibility .
Linguistic and cultural diversity is as vital to humanity as biological diversity is to the planet, and the digital world represents a new domain where this diversity must be protected
Arg. 1Valts Ernstreits argues that just as biological diversity keeps the planet healthy, linguistic and cultural diversity is essential to humanity's ability to innovate and move forward. The digital world has become a new reality permeating everyday life, and therefore a new domain has opened up in which linguistic and cultural diversity must be protected at least to the same degree as it was in the analogue world.
Ernstreits drew an explicit analogy between biological diversity and linguistic diversity, stating that diversity of languages and culture is relevant to humanity's ability to continue to innovate and move forward . He noted that the digital world is now present in buses, cars, and meeting rooms, meaning it is no longer a distant technology but a new domain requiring the same protections as analogue platforms .
Out of 7,000 languages, only 1,000 have the foundations to enter AI domains, and the gap between these 1,000 and the remaining 6,000 is not narrowing despite rapid AI advancements
Arg. 2Ernstreits highlights that a report on AI presented at the Global Forum on AI found that only 1,000 of the world's 7,000 languages have the foundations needed to enter AI domains. More alarmingly, the gap between those 1,000 languages and the remaining 6,000 is not narrowing, indicating a structural barrier that AI technology alone cannot solve.
He referenced a report on AI presented at the Global Forum on AI, which explicitly stated that out of 7,000 languages, 1,000 are prepared to enter AI domains, meaning 6,000 - the absolute majority - cannot . The report also noted that despite rapid advancements in AI, the gap between the 1,000 language-ready languages and the 6,000 excluded ones is not narrowing, pointing to a structural barrier rather than a technological one .
on: The vast majority of the world's languages (approximately 6,000 out of 7,000+) remain digitally disadvantaged and face structural barriers to digital participation
on: Whether the linguistic digital divide is being adequately addressed or is actually expanding
The Global Roadmap for Multilingualism in the Digital Era emerged from the International Decade of Indigenous Languages and outlines a pathway for getting 6,000 languages into the digital domain through input, output, and process dimensions
Arg. 3Ernstreits describes the Global Roadmap for Multilingualism in the Digital Era as one of the most important initiatives for breaking down the structural barriers preventing 6,000 languages from entering the digital domain. The roadmap, which emerged from the International Decade of Indigenous Languages, is structured around three dimensions: input (foundational requirements), output (technology integration), and process (community involvement).
He explained that the roadmap emerged from discussions during the International Decade of Indigenous Languages (2022-2032) and is structured around input, output, and process . He described input as covering basic requirements such as writing systems, standardisation, and the ability to produce digital data, which many of the 6,000 languages currently lack .
The input phase is critical and includes very basic requirements such as writing systems, standardisation, and the ability to produce digital data, which many of the 6,000 languages currently lack
Arg. 4Ernstreits emphasises that the input phase of the Global Roadmap is extremely important because many of the world's 6,000 digitally disadvantaged languages lack even the most basic prerequisites for digital participation, such as writing systems and the ability to produce digital data. Without these foundational elements, no digital technology can be built for or used by these language communities.
He noted that speakers of major languages take for granted their ability to use and write in their language, but many of the 6,000 languages do not have writing systems or the ability to produce digital data, which is a precondition for any digital technology . He also mentioned that the input phase is diverse and includes very analogue aspects such as standardisation and tackling variation .
on: Investment in language documentation, digitalisation, community-led data, language infrastructure, and local capacity is essential for AI to deliver inclusive outcomes
The output phase requires that technology be multilingual by default, allowing any language to function within existing systems, as current barriers prevent even developed language tools from being integrated into mainstream software
Arg. 5Ernstreits argues that even when language communities successfully develop their own language tools, they often cannot integrate these tools into mainstream software due to technical barriers. The solution he proposes is that technology should be multilingual by default, meaning it should be adaptable to any language from the outset.
He gave the personal example of working with the indigenous Livonian language, noting that even after building language technology, he cannot install a Livonian spell checker in word-processing software because the software simply does not allow it . He proposed that the key answer is for technology to be multilingual by default, so that it is adoptable to any language .
Language communities must be involved throughout the entire technology ecosystem from conception to deployment, as they are rights holders, resource holders, and possess unique methodological knowledge about their languages
Arg. 6Ernstreits contends that language communities must be involved in the entire technology development process, from the initial idea through to deployment, not merely consulted at the end. This is justified both because they are rights and resource holders who need stewardship over their data and technologies, and because creating technology for endangered language communities is methodologically different and requires the communities' own knowledge.
He stated that language communities are rights holders and resource holders who need stewardship over data, solutions, and technologies developed for them . He also argued that creating technology for endangered communities is methodologically different, and communities possess the knowledge and understanding necessary for this process .
on: Multi-stakeholder collaboration across governments, technical community, civil society, indigenous peoples, private sector, and international organisations is essential for advancing multilingualism
Digital technology as a tool for dialect and language preservation
Arg. 7Ernstreits responds to the question about urbanisation and dialect loss by arguing that digital technologies can help by bringing together scattered communities that have been separated by urbanisation and population mobility. However, he stresses that for this to work, digital technologies must be capable of functioning for those specific communities.
He acknowledged that urbanisation is a challenge many communities are going through and that digital technologies can help by bringing scattered communities together . He also noted that there is insufficient understanding of how community-level decisions are made and how community governance is put into effect, identifying this as a further subject requiring exploration .
There is insufficient understanding of how community-level decisions are made and how community governance is put into effect, and this remains a subject that requires further exploration alongside discussions of community-led governance
Arg. 8Ernstreits identifies a significant gap in current discussions about multilingualism and digital inclusion: while there is much talk about community-led governance and community involvement, there is not enough understanding of how community-level decisions are actually made and how community governance is operationalised in practice. He calls for this to be explored further.
He stated directly that there is a lot of talking about community-led governance and community involvement, but not enough understanding of how community-level decisions are made and how community governance is actually put into effect .
More than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged, lacking basic tools such as keyboards, fonts, language datasets, and digital services
Arg. 1Canela highlights the enormous scale of the linguistic digital divide, noting that the vast majority of the world's languages lack even the most basic digital tools needed for meaningful participation in the digital world. This includes foundational elements such as keyboards, fonts, language datasets, and digital services.
He stated that more than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged , and that many still lack foundation tools, from keyboards and fonts to language datasets and digital services that make meaningful digital participation possible .
on: The vast majority of the world's languages (approximately 6,000 out of 7,000+) remain digitally disadvantaged and face structural barriers to digital participation
AI presents extraordinary opportunities for language revitalisation, including documenting endangered languages, improving translation, creating learning resources, and preserving oral traditions through digital archives
Arg. 2Canela argues that AI is not only a threat but also an extraordinary opportunity for language revitalisation. He outlines a range of specific ways in which AI can support endangered and low-resource languages, from documentation and translation to the creation of learning resources and digital preservation of oral traditions.
He listed specific AI-enabled opportunities including documenting endangered languages, improving communication, transcription and translation, creating language learning resources, expanding digital tools to support more languages and scripts, and preserving oral traditions through searchable digital archives .
on: AI presents both extraordinary opportunities for language revitalisation and significant risks of deepening linguistic inequalities if disadvantaged languages are excluded from training data and development processes
on: Whether AI primarily represents an opportunity or a structural threat for linguistic diversity
AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and if indigenous communities are not included from the outset of the process
Arg. 3Canela warns that AI also poses a significant risk of deepening existing linguistic inequalities if the languages and communities currently excluded from digital systems are not brought into the AI development process from the very beginning. He stresses that inclusion must happen at the outset, not as an afterthought.
He stated that AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from today's digital systems and the data that power tomorrow's AI, and especially if indigenous communities and other communities speaking these disadvantaged languages are not included in the conversation from the outset and not at the end of the process . He also noted that without investment in language documentation, digitalisation, community-led data, language infrastructure, and local capacity, AI cannot deliver inclusive outcomes .
on: Investment in language documentation, digitalisation, community-led data, language infrastructure, and local capacity is essential for AI to deliver inclusive outcomes
UNESCO's 2003 Recommendation concerning the promotion and use of multilingualism and universal access to cyberspace provides a foundational normative framework, and after 23 years there is growing interest in its implementation
Arg. 4Canela highlights that UNESCO's 2003 Recommendation on multilingualism in cyberspace was a pioneering normative instrument, approved by 194 UNESCO member states even before the WSIS process formally began in Geneva. After 23 years of implementation, there is now a strong and growing pick-up of interest in this topic, which should be leveraged.
He noted that the 2003 Recommendation was approved by 194 UNESCO member states even before WSIS started formally in Geneva, with negotiations having begun long before 2003 . He observed that after 23 years of implementing this recommendation, there is more and more interest in the topic, which is good news that should be leveraged .
on: Multi-stakeholder collaboration across governments, technical community, civil society, indigenous peoples, private sector, and international organisations is essential for advancing multilingualism
UNESCO is launching a Quadriennial Monitoring Mechanism for the 2003 Recommendation, encouraging governments to submit national reports by February 2027 to improve evidence-based policymaking
Arg. 5Canela announces the launch of UNESCO's Quadriennial Report and Monitoring Mechanism for the 2003 Recommendation on multilingualism in cyberspace. He urges governments to participate in this exercise, emphasising that better evidence is essential for improving policies and enabling UNESCO to provide meaningful technical assistance.
He announced that UNESCO is launching the Quadriennial Report Mechanism and Monitoring Mechanism around the 2003 Recommendation and strongly encouraged governments to participate . He stressed that without data and evidence it is impossible to improve meaningful policies, and that the more governments report on what is happening, the better UNESCO can provide technical assistance .
The WSIS Plus 20 review and the Global Digital Compact both reaffirmed that an inclusive digital future cannot be built on a monolingual foundation, making UNESCO's normative work more relevant than ever
Arg. 6Canela points out that both the WSIS Plus 20 review and the Global Digital Compact have reaffirmed that cultural diversity and linguistic inclusion are prerequisites — not afterthoughts — for meaningful connectivity. This makes UNESCO's normative work on multilingualism more relevant than ever in the current digital transformation landscape.
He stated that the WSIS Plus 20 review and the Global Digital Compact both reaffirmed that an inclusive digital future cannot be built on a monolingual foundation . He noted that UNESCO welcomes the strong emphasis placed by both processes on cultural diversity and linguistic inclusion as prerequisites, not afterthoughts, for meaningful connectivity .
on: Digital transformation cannot be truly inclusive if it is not multilingual; multilingualism is a prerequisite, not an afterthought, for meaningful digital participation
The International Decade of Indigenous Languages provides a model for community engagement, as indigenous communities are well connected and are themselves driving the key topics of the conversation, offering a learning experience for libraries, archives, and other institutions
Arg. 7Canela highlights the International Decade of Indigenous Languages as a successful model for community engagement, noting that indigenous communities are well connected and are themselves providing the key topics for the conversation on multilingualism. He suggests this offers a valuable learning experience for libraries, archives, and other institutions seeking to engage with language communities.
He pointed to the International Decade of Indigenous Languages as an interesting example of community engagement, noting that indigenous communities are really connected and are the ones providing the key topics for the conversation . He suggested there is a learning experience between these communities and libraries, archives, and similar institutions .
The global digital divide and linguistic inequality continue to persist, with over 2 billion people still unconnected, and the scale of the linguistic digital divide is expanding in the AI era
Arg. 1Xiaohong Hu emphasises that despite two decades of the WSIS process, global digital inequality and the linguistic digital divide continue to persist and are even expanding in the AI era. She notes that more than 2 billion people remain unconnected, underscoring the scale of the challenge.
She stated that compared to 20 years ago, global digital divide and global inequality continue to persist, and that even today more than 2 billion people are not connected . She also noted that the scale of the linguistic digital divide is outstanding and even expanding during the AI era .
on: AI presents both extraordinary opportunities for language revitalisation and significant risks of deepening linguistic inequalities if disadvantaged languages are excluded from training data and development processes
on: Whether the linguistic digital divide is being adequately addressed or is actually expanding
The monitoring questionnaire has been updated to reflect new digital and AI issues, including language data representation, AI-related datasets, universal acceptance of domain names, and national frameworks for linguistic data governance
Arg. 2Hu explains that the monitoring questionnaire for the 2003 Recommendation has been comprehensively updated to address new challenges in the digital and AI era. The updated questionnaire covers key areas such as language data representation, AI-related datasets, universal acceptance of domain names, and national frameworks for linguistic data governance.
She highlighted that the questionnaire includes key questions and indicators related to the representation of language data and content, AI-related datasets and language resources, the adoption of universal acceptance and international domain names, and national frameworks of linguistic data governance . She noted that all these dimensions closely contribute to the Action Line C8 .
UNESCO hosts the Secretariat of the UN International Decade of Indigenous Languages (2022–2032), which networks and empowers indigenous communities to preserve their languages
Arg. 3Hu highlights UNESCO's role as host of the Secretariat of the UN International Decade of Indigenous Languages, which runs from 2022 to 2032. This initiative networks and empowers indigenous communities to preserve their languages, forming a key part of UNESCO's broader commitment to multilingualism.
She stated that UNESCO is hosting the Secretariat of the UN Initiative on International Decades of Indigenous Languages to network and empower indigenous communities and preserve their languages .
The Global Roadmap's 45 concrete stakeholder-driven actions have been recognised by the UNESCO Information for All Programme, which recommends all member states and stakeholders implement them
Arg. 4Hu notes that the Global Roadmap for Multilingualism in the Digital Era, with its 45 concrete stakeholder-driven actions, has received formal institutional recognition. The 35th Bureau of the UNESCO Information for All Programme has recommended that all member states and stakeholders implement the roadmap's actions across their different areas of work.
She stated that the roadmap, including its 45 concrete stakeholder-driven actions, has just been recognised by the 35th Bureau of UNESCO's Information for All Programme, which recommends all member states and stakeholders implement them in their different range of work .
UNESCO has launched a joint initiative with GovLab and Microsoft—the New Commons Incubator for Indigenous Languages and Culture—to enhance community capacity on data governance, with an open call for applications
Arg. 5Hu announces a new joint initiative between UNESCO, GovLab, and Microsoft called the New Commons Incubator for Indigenous Languages and Culture. This initiative directly enhances indigenous communities' capacity on data governance, and an open call for applications was at the time of the session.
She described the initiative as a global initiative on the New Commons Incubator for Indigenous Languages and Culture, launched in partnership with GovLab and Microsoft, which directly enhances community capacity on data governance . She noted that there was a deadline for applications before 14th August and called for engagement .
The internet cannot maintain its core technical attribute of openness by favouring a single language and script; language barriers stifle the internet's further growth
Arg. 1Elizabeth Oluoch argues that openness is a core technical principle of the internet, and that this openness is fundamentally incompatible with favouring a single language and script. She contends that language barriers artificially limit the internet's potential and stall its further growth, making multilingualism a benchmark of the internet's success.
She stated that the internet's technology is not simply a communications platform but aims to be a benefit to everyone through openness, and that we cannot maintain its core technical attribute of openness by favouring a single language and script . She argued that multilingualism on the internet expands the internet, while language barriers conversely stifle its further growth .
on: Digital transformation cannot be truly inclusive if it is not multilingual; multilingualism is a prerequisite, not an afterthought, for meaningful digital participation
ICANN has worked to implement internationalised domain name (IDN) standards since 2003, resulting in over 150 IDN top-level domains representing 37 languages and 23 scripts, unlocking millions of domain names worldwide
Arg. 2Oluoch outlines ICANN's substantial progress in implementing internationalised domain name standards over more than two decades. This work has resulted in over 150 IDN top-level domains representing 37 languages and 23 scripts, unlocking millions of domain names and allowing communities to connect and do business online in their native languages.
She noted that since 2003, ICANN has worked with the ICANN community to implement IDN standards, launching the IDN Country Code Fast Track Program in 2009, with 44 countries and territories now having allocated 63 country code top-level domains in local scripts . The 2012 new GTLD programme delegated 90 IDN generic top-level domains, resulting in over 150 IDN top-level domains representing 37 languages and 23 scripts, unlocking millions of domain names worldwide .
on: Whether the linguistic digital divide is being adequately addressed or is actually expanding
Universal acceptance is more than a technical requirement; it is an enabler of social and economic opportunity, allowing multilingual internet users to access e-commerce and connect with local communities
Arg. 3Oluoch argues that universal acceptance goes beyond being a mere technical requirement and is in fact an enabler of social and economic opportunity. By allowing multilingual internet users to access the internet and e-commerce in their native languages, universal acceptance opens up new markets and supports local communities.
She stated that universal acceptance is more than just a technical requirement and is an enabler of social and economic opportunity . She described how achieving universal acceptance readiness provides opportunities for global market expansion and a potential new client base by allowing multilingual internet users to access e-commerce and connect with local communities .
Travellers and everyday users with domain names and email addresses in non-Latin scripts face technical barriers that prevent them from completing basic digital transactions, illustrating the real-world impact of the lack of universal acceptance
Arg. 4Oluoch uses the concrete example of international travellers to illustrate the real-world consequences of the lack of universal acceptance. Users with domain names and email addresses in non-Latin scripts encounter technical barriers when trying to access airport Wi-Fi, purchase tickets, or use other basic digital services, creating a digital divide in everyday situations.
She described how travellers using domain names and email addresses in their own scripts may encounter technical barriers, while those using standard English characters and traditional domain names like .com or .org navigate systems with ease . She noted that anyone using different scripts, IDNs, or newer top-level domains like .photography might get an error message and be unable to complete their transaction, and that this type of scenario happens every day for internet users around the world .
The UNESCO-ICANN Policy Brief on Universal Acceptance offers a practical framework for governments and the private sector to accelerate digital inclusion through multilingual internet infrastructure
Arg. 5Oluoch highlights the recently published UNESCO-ICANN Policy Brief on Universal Acceptance as a practical and comprehensive resource for governments and the private sector. The brief provides a framework for accelerating digital inclusion and gives a sense of the 25-plus years of collaborative efforts by the technical community to enable multilingualism on the internet.
She stated that the universal acceptance policy brief developed by UNESCO in collaboration with ICANN offers a practical framework for governments and the private sector to accelerate digital inclusion . She noted that it gives a sense of the tremendous 25-plus years of collaborative efforts by the technical community, including the IETF, ICANN, and organisations such as UNESCO and Unicode to enable multilingualism on the internet .
Multi-stakeholder collaboration is essential, with governments embedding universal acceptance into national digital strategies, technology developers treating it as a foundational design principle, and civil society raising awareness in policy debates
Arg. 6Oluoch argues that achieving universal acceptance and digital inclusion requires coordinated action across multiple stakeholder groups. She outlines specific roles for governments, technology developers and service providers, civil society and academia, and international organisations, emphasising that each has a distinct contribution to make.
She stated that governments and regional organisations can embed universal acceptance and linguistic and script diversity into national digital strategies and public procurement, and lead by example in adopting universal acceptance-ready systems . She noted that technology developers and service providers should treat universal acceptance as a foundational design principle, not a niche feature , and that civil society, academia, and research organisations can raise awareness and advocate for multilingual technology in policy debates .
on: Multi-stakeholder collaboration across governments, technical community, civil society, indigenous peoples, private sector, and international organisations is essential for advancing multilingualism
Large language models increasingly organise, summarise, and generate knowledge, meaning that languages absent from training datasets become less capable of contributing to the production of knowledge itself
Arg. 1Monceau argues that AI has fundamentally changed the stakes of multilingualism by shifting from merely transmitting information to actively organising and generating knowledge. When languages are absent from AI training datasets, they do not merely become less visible online — they become less capable of contributing to the production of knowledge itself.
He stated that large language models no longer simply transmit information but increasingly organise knowledge, summarise it, recommend it, and generate it . He argued that when a vast majority of languages are absent from training datasets, they do not merely become less visible in cyberspace but become less capable of contributing to the production of knowledge itself .
on: AI presents both extraordinary opportunities for language revitalisation and significant risks of deepening linguistic inequalities if disadvantaged languages are excluded from training data and development processes
on: Whether AI primarily represents an opportunity or a structural threat for linguistic diversity
Multilingualism is no longer only a cultural matter but has become a democratic, scientific, and geopolitical imperative, as AI increasingly mediates the conditions under which knowledge is produced and disseminated
Arg. 2Monceau contends that the rise of AI has elevated multilingualism from a cultural concern to a democratic, scientific, and geopolitical imperative. Because AI increasingly mediates how knowledge is produced, organised, and disseminated, ensuring linguistic diversity in AI systems is now a matter of fundamental importance beyond culture alone.
He stated that multilingualism is no longer only a cultural object but a social object, and has become a democratic, scientific, and geopolitical imperative . He argued that AI does much more than process language - it increasingly mediates the conditions under which knowledge is produced, organised, and disseminated .
on: Digital transformation cannot be truly inclusive if it is not multilingual; multilingualism is a prerequisite, not an afterthought, for meaningful digital participation
on: Whether multilingualism is primarily a cultural matter or a broader democratic and geopolitical imperative
If AI systems are trained predominantly on a handful of dominant languages, we risk reducing not only linguistic diversity but the diversity of human perspectives themselves
Arg. 3Monceau warns that training AI systems predominantly on a small number of dominant languages risks not only reducing linguistic diversity but also homogenising human perspectives and ways of understanding the world. He argues that every language embodies a unique way of describing reality, and AI's dominance by a few languages threatens this epistemic richness.
He stated that every language embodies a particular way of describing the world and every culture carries unique categories of thought, memories, and forms of knowledge . He warned that if AI systems are trained predominantly on a handful of dominant languages, we risk reducing not only linguistic diversity but the diversity of human perspectives themselves .
on: AI presents both extraordinary opportunities for language revitalisation and significant risks of deepening linguistic inequalities if disadvantaged languages are excluded from training data and development processes
Discoverability—the ability to find content online without actively searching for it—has become a strategic public policy objective for the Francophonie, as recommendation algorithms and generative AI increasingly determine what citizens read and watch
Arg. 4Monceau argues that in the age of AI, creating multilingual cultural content is no longer sufficient — that content must also be discoverable. Recommendation algorithms, metadata, search engines, and generative AI increasingly determine what citizens encounter online, meaning that multilingual cultural expressions that are not discoverable gradually become invisible regardless of their quality.
He defined discoverability as the ability to find content online without necessarily searching for it, and argued that in the age of AI, creating cultural content is no longer sufficient - it must also be found . He noted that recommendation algorithms, metadata, search engines, and generative AI increasingly determine what citizens read, watch, and listen to, and that multilingual cultural expressions that are not discoverable gradually become invisible regardless of their intrinsic value .
The Organisation Internationale de la Francophonie (OIF) has actively contributed to ensuring linguistic and cultural diversity became an explicit component of international digital governance, including in the Global Digital Compact negotiations
Arg. 5Monceau highlights the OIF's role in ensuring that linguistic and cultural diversity is embedded in international digital governance frameworks. He notes that the OIF worked alongside member states and in close cooperation with UNESCO to ensure this principle is now reflected in the Global Digital Compact.
He stated that the OIF has worked actively to ensure that linguistic and cultural diversity became an explicit component of international digital governance, including during the negotiations of the Global Digital Compact, where this principle is now reflected . He also noted that the OIF has renewed its digital strategy to integrate artificial intelligence as a strategic priority .
on: Multi-stakeholder collaboration across governments, technical community, civil society, indigenous peoples, private sector, and international organisations is essential for advancing multilingualism
The OIF has launched a Francophonie Forum on Digital and AI Governance and established ongoing political dialogue among member states on AI governance, reflecting the conviction that multilingualism is about preparing the future, not preserving the past
Arg. 6Monceau describes the OIF's proactive steps in digital and AI governance, including the launch of a Francophonie Forum on Digital and AI Governance and the establishment of ongoing political dialogue among member states on AI governance. He frames this as reflecting the conviction that multilingualism is not about preserving the past but about preparing the future.
He stated that the OIF has launched a Francophonie Forum on Digital and AI Governance and established an ongoing political dialogue among member states on the governance of artificial intelligence . He expressed the conviction that multilingualism is not about preserving the past but about preparing the future .
A new generation of international governance is needed, including a potential additional protocol to the UNESCO 2005 Convention specifically addressing challenges created by the digital environment and AI, covering training datasets, fair remuneration, and transparency
Arg. 7Monceau argues that generative AI raises questions that did not exist when the UNESCO 2005 Convention was adopted, and that a new generation of international governance instruments is therefore needed. He specifically highlights a proposal to develop an additional protocol to the 2005 Convention addressing challenges such as training datasets, fair remuneration for creators, and transparency in recommendation algorithms.
He posed a series of questions that generative AI raises which the 2005 Convention did not address, including how to preserve linguistic diversity when AI models are trained on a limited number of languages, how to ensure fair remuneration for creators whose works contribute to AI training, and how to guarantee transparency regarding training datasets and recommendation algorithms . He highlighted the proposal from UNESCO's Reflection Group to develop an additional protocol to the 2005 Convention specifically addressing challenges created by the digital environment and AI .
on: Investment in language documentation, digitalisation, community-led data, language infrastructure, and local capacity is essential for AI to deliver inclusive outcomes
on: Whether technical infrastructure solutions or new international governance frameworks should be prioritised to address linguistic diversity in the digital age
Raising awareness must be both top-down, working with policymakers and parliaments, and bottom-up, working with communities, using available tools and reports such as the independent scientific panel's AI report
Arg. 1An unnamed participant argues that raising awareness about linguistic diversity and digital inclusion must operate simultaneously at two levels: top-down, engaging with policy decision-makers and parliaments, and bottom-up, working directly with communities. They note that there are many available tools and reports, including the recently released scientific panel report on AI, that can support this awareness-raising effort.
The participant stated that raising awareness is key and must be both top-down, meaning working with policy decision-makers and parliaments, and bottom-up with communities, and that there are a lot of tools and networks available . They referenced the report released by the scientific panel on AI three or four days prior as a useful tool for raising awareness, particularly for showing the concentration of AI .
Local actors, community actors, and libraries need to be brought together to take the decisions necessary to make multilingualism a reality on the internet, particularly for communities without established cultural institutions
Arg. 1Stephen Wyber from IFLA raises the question of how to bring together local and community actors — including libraries — to take the decisions necessary to make multilingualism on the internet a practical reality. He notes that not all communities have access to established cultural institutions like the Alliance Française, and asks how community governance can be operationalised at the local level.
He noted that there is already a need in the plan on multilingualism to work with communities in a meaningful way to bring people together, and that not all communities are blessed with an institution like the Alliance Française . He asked specifically how local actors, community actors, and libraries can be brought together to take the decisions necessary to make multilingualism on the internet a reality .
The WSIS Action Line C8 has provided the normative foundation for advancing multilingualism online, but significant gaps remain for indigenous peoples and speakers of low-resource languages who face structural barriers to meaningful digital participation
Arg. 1David Castillo Parra frames the session by acknowledging the progress made under WSIS Action Line C8 in advancing multilingualism online, including internationalised domain names and multilingual content growth. However, he emphasises that significant gaps persist, particularly for indigenous peoples and speakers of low-resource languages who continue to face structural barriers. He also notes that the rapid rise of AI has deepened rather than closed these inequalities.
He stated that since the adoption of the WSIS Framework, Action Line 8 has provided the normative foundation for advancing multilingualism online, from internationalised domain names to the growth of multilingual content . He noted that indigenous peoples and speakers of low-resource languages continue to face structural barriers to meaningful digital participation, and that the rapid rise of AI has in many ways deepened these inequalities rather than closed them .
on: The vast majority of the world's languages (approximately 6,000 out of 7,000+) remain digitally disadvantaged and face structural barriers to digital participation
The session comes at a timely moment following key international outcomes including WSIS Plus 20, UNESCO's Global Roadmap for Multilingualism in the Digital Era, and the UNESCO-ICANN Policy Brief, which together provide a framework for advancing multilingualism
Arg. 2Castillo Parra contextualises the session within a broader set of recent international developments and normative outputs that together create a timely opportunity to advance multilingualism in the digital era. He highlights the convergence of multiple processes and documents that collectively reinforce the importance of the session's themes.
He stated that the session comes at a timely moment following the outcomes of the WSIS Plus 20, UNESCO's Global Roadmap of Multilingualism in the Digital Era, Mundia Code 2025, and the UNESCO-ICANN Policy Brief .
Digital transformation cannot be truly inclusive if it is not multilingual, and multilingualism is ultimately about participation — ensuring people can access and shape the digital society in their own languages and scripts
Arg. 3Castillo Parra, in his moderating role, reinforces the session's central thesis that digital inclusion is inseparable from multilingualism. He frames multilingualism not merely as a matter of content availability but as a prerequisite for meaningful participation in the digital society, including the ability to govern one's own data in relation to language models.
He introduced Guilherme Canela's framing that digital transformation cannot be truly inclusive if it is not multilingual , and the argument that multilingualism is ultimately about participation, ensuring people can access and shape the digital society in their own languages and scripts, and also govern their own data in their relationship with language models .
on: Digital transformation cannot be truly inclusive if it is not multilingual; multilingualism is a prerequisite, not an afterthought, for meaningful digital participation
on: Whether multilingualism is primarily a cultural matter or a broader democratic and geopolitical imperative
Remote participants should be able to submit questions through the chat to be incorporated into the Q&A, ensuring inclusive participation in the session itself
Arg. 4Castillo Parra makes a procedural point about ensuring that remote participants are not excluded from the discussion, reflecting the session's broader theme of inclusion. By explicitly inviting remote participants to submit questions via chat, he models the principle of inclusive participation that the session advocates for in the digital sphere.
He invited remote participants to submit their questions through the chat at any point, stating that he would bring them into the discussion during the Q&A segment .
Session Knowledge Graph
Speakers · Topics · Arguments · Relationships
All speakers converge on the recognition that the overwhelming majority of the world's languages remain excluded from meaningful digital participation. Canela stated that more than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged, lacking foundational tools . Ernstreits reinforced this with AI-specific data, noting that only 1,000 languages have the foundations to enter AI domains and that the gap is not narrowing . Hu confirmed that the scale of the linguistic digital divide is outstanding and even expanding during the AI era . Castillo Parra framed this as the central challenge of the session, noting that indigenous peoples and speakers of low-resource languages continue to face structural barriers .
More than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged, lacking basic tools such as keyboards, fonts, language datasets, and digital services
Out of 7,000 languages, only 1,000 have the foundations to enter AI domains, and the gap between these 1,000 and the remaining 6,000 is not narrowing despite rapid AI advancements
The global digital divide and linguistic inequality continue to persist, with over 2 billion people still unconnected, and the scale of the linguistic digital divide is expanding in the AI era
The WSIS Action Line C8 has provided the normative foundation for advancing multilingualism online, but significant gaps remain for indigenous peoples and speakers of low-resource languages who face structural barriers to meaningful digital participation
There is strong consensus that AI is a double-edged sword for linguistic diversity. Canela outlined specific AI-enabled opportunities including documenting endangered languages, improving translation, and preserving oral traditions , but warned that AI risks reinforcing inequalities if disadvantaged languages remain excluded from training data and if communities are not included from the outset . Monceau deepened this analysis, arguing that large language models no longer simply transmit information but organise and generate knowledge, meaning absent languages become less capable of contributing to knowledge production itself . He further warned that training AI predominantly on dominant languages risks reducing the diversity of human perspectives . Hu confirmed the expanding nature of the linguistic digital divide in the AI era .
AI presents extraordinary opportunities for language revitalisation, including documenting endangered languages, improving translation, creating learning resources, and preserving oral traditions through digital archives
AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and if indigenous communities are not included from the outset of the process
Large language models increasingly organise, summarise, and generate knowledge, meaning that languages absent from training datasets become less capable of contributing to the production of knowledge itself
If AI systems are trained predominantly on a handful of dominant languages, we risk reducing not only linguistic diversity but the diversity of human perspectives themselves
The global digital divide and linguistic inequality continue to persist, with over 2 billion people still unconnected, and the scale of the linguistic digital divide is expanding in the AI era
Multiple speakers agreed that community involvement must be foundational rather than peripheral. Canela explicitly stated that indigenous communities and other communities speaking disadvantaged languages must be included in the conversation from the outset and not at the end of the process . Ernstreits elaborated that language communities are rights holders and resource holders who need stewardship over data, solutions, and technologies, and that creating technology for endangered communities is methodologically different, requiring communities' own knowledge . Monceau elevated this to a democratic imperative, arguing that multilingualism has become a democratic, scientific, and geopolitical imperative because AI increasingly mediates the conditions under which knowledge is produced .
AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and if indigenous communities are not included from the outset of the process
Language communities must be involved throughout the entire technology ecosystem from conception to deployment, as they are rights holders, resource holders, and possess unique methodological knowledge about their languages
Multilingualism is no longer only a cultural matter but has become a democratic, scientific, and geopolitical imperative, as AI increasingly mediates the conditions under which knowledge is produced and disseminated
All speakers converge on the principle that multilingualism is foundational to digital inclusion. Canela noted that the WSIS Plus 20 review and the Global Digital Compact both reaffirmed that an inclusive digital future cannot be built on a monolingual foundation, and that cultural diversity and linguistic inclusion are prerequisites, not afterthoughts . Oluoch argued from a technical perspective that the internet cannot maintain its core attribute of openness by favouring a single language and script, and that multilingualism is a benchmark of the internet's success . Monceau elevated this to a geopolitical imperative . Castillo Parra framed the entire session around the principle that digital transformation cannot be truly inclusive if it is not multilingual .
The WSIS Plus 20 review and the Global Digital Compact both reaffirmed that an inclusive digital future cannot be built on a monolingual foundation, making UNESCO's normative work more relevant than ever
The internet cannot maintain its core technical attribute of openness by favouring a single language and script; language barriers stifle the internet's further growth
Multilingualism is no longer only a cultural matter but has become a democratic, scientific, and geopolitical imperative, as AI increasingly mediates the conditions under which knowledge is produced and disseminated
Digital transformation cannot be truly inclusive if it is not multilingual, and multilingualism is ultimately about participation — ensuring people can access and shape the digital society in their own languages and scripts
There is broad consensus on the necessity of multi-stakeholder collaboration. Canela acknowledged the collaboration between governments, the technical community, academia, civil society, indigenous peoples, the private sector, and international organisations, stating that multilingualism can only be advanced through this collective effort . Oluoch outlined specific roles for each stakeholder group, including governments embedding universal acceptance into national digital strategies, technology developers treating it as a foundational design principle, and civil society raising awareness . Ernstreits emphasised that language communities themselves must be part of the entire ecosystem from conception to deployment . Monceau highlighted the OIF's contribution to ensuring linguistic diversity became an explicit component of international digital governance .
UNESCO's 2003 Recommendation concerning the promotion and use of multilingualism and universal access to cyberspace provides a foundational normative framework, and after 23 years there is growing interest in its implementation
Multi-stakeholder collaboration is essential, with governments embedding universal acceptance into national digital strategies, technology developers treating it as a foundational design principle, and civil society raising awareness in policy debates
Language communities must be involved throughout the entire technology ecosystem from conception to deployment, as they are rights holders, resource holders, and possess unique methodological knowledge about their languages
The Organisation Internationale de la Francophonie (OIF) has actively contributed to ensuring linguistic and cultural diversity became an explicit component of international digital governance, including in the Global Digital Compact negotiations
Multiple speakers agreed that foundational investment is a prerequisite for inclusive AI outcomes. Canela stated explicitly that without investment in language documentation, digitalisation, community-led data, language infrastructure, and local capacity, AI cannot deliver inclusive outcomes . Ernstreits detailed the specific foundational requirements in the input phase of the Global Roadmap, noting that many of the 6,000 languages lack even basic writing systems and the ability to produce digital data . Monceau raised the governance dimension, posing questions about how to preserve linguistic diversity when AI models are trained on a limited number of languages and how to ensure fair remuneration for creators .
AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and if indigenous communities are not included from the outset of the process
The input phase is critical and includes very basic requirements such as writing systems, standardisation, and the ability to produce digital data, which many of the 6,000 languages currently lack
A new generation of international governance is needed, including a potential additional protocol to the UNESCO 2005 Convention specifically addressing challenges created by the digital environment and AI, covering training datasets, fair remuneration, and transparency
Both Canela and Ernstreits share a deep investment in the Global Roadmap for Multilingualism in the Digital Era and the broader UNESCO normative framework. Canela described the roadmap as part of UNESCO's people-centred approach guiding its work from the 2003 Recommendation through to the present . Ernstreits, as one of the architects of the roadmap, described it as one of the most important initiatives for breaking down structural barriers, explaining its three-dimensional structure of input, output, and process . Both emphasised that the roadmap emerged from the International Decade of Indigenous Languages and that it represents a concrete pathway for getting 6,000 languages into the digital domain . Oluoch, Canela, and Hu all highlight the UNESCO-ICANN Policy Brief on Universal Acceptance as a key practical instrument for advancing multilingualism. Oluoch described it as offering a practical framework for governments and the private sector to accelerate digital inclusion and recommended it as a comprehensive resource reflecting 25-plus years of collaborative effort . Canela referenced the policy brief as part of UNESCO's normative work promoting responsible language technologies . Hu noted that the brief had been launched in French at a recent forum and was being translated into more languages . All three speakers positioned universal acceptance as a concrete mechanism for operationalising the broader principle of multilingualism on the internet. Both Monceau and Canela share the view that existing international governance frameworks, while foundational, require updating and strengthening to address the challenges posed by AI. Canela noted that the WSIS Plus 20 review and the Global Digital Compact reaffirmed that cultural diversity and linguistic inclusion are prerequisites for meaningful connectivity, making UNESCO's normative work more relevant than ever . Monceau argued that generative AI raises questions that simply did not exist 20 years ago, including how to preserve linguistic diversity when AI models are trained on limited languages, how to ensure fair remuneration for creators, and how to guarantee transparency regarding training datasets . He specifically highlighted the proposal for an additional protocol to the 2005 Convention . Both Ernstreits and Wyber identify a significant gap between the aspiration of community-led governance and its practical implementation. Wyber asked specifically how local actors, community actors, and libraries can be brought together to take the decisions necessary to make multilingualism on the internet a reality, noting that not all communities have access to established cultural institutions . Ernstreits directly acknowledged this gap, stating that while there is a lot of talking about community-led governance and community involvement, there is not enough understanding of how community-level decisions are made and how community governance is actually put into effect . Both identified this as a critical area requiring further exploration. Canela, Monceau, and Ernstreits all share the view that the structural barriers preventing languages from entering the digital and AI domain are not being addressed by technological progress alone. Ernstreits noted that despite rapid advancements in AI, the gap between the 1,000 language-ready languages and the 6,000 excluded ones is not narrowing, pointing to a structural barrier rather than a technological one . Canela warned that AI risks reinforcing existing inequalities if disadvantaged languages remain excluded from training data . Monceau argued that if AI systems are trained predominantly on dominant languages, we risk reducing not only linguistic diversity but the diversity of human perspectives . All three converge on the conclusion that deliberate structural intervention is required. Both Canela and Hu share a strong emphasis on the importance of the UNESCO monitoring mechanism for the 2003 Recommendation as a tool for evidence-based policymaking. Canela announced the launch of the Quadriennial Report and Monitoring Mechanism, urging governments to participate and stressing that without data and evidence it is impossible to improve meaningful policies . Hu elaborated on the practical details of the monitoring questionnaire, noting that it has been updated to reflect new digital and AI issues including language data representation, AI-related datasets, universal acceptance, and national frameworks for linguistic data governance . Both called for engagement from governments and stakeholders.
It is somewhat unexpected that speakers from very different institutional backgrounds - a cultural organisation (OIF), a normative UN agency (UNESCO), and a technical internet coordination body (ICANN) - all converge on framing multilingualism as a matter that transcends cultural policy. Monceau explicitly stated that multilingualism is no longer only a cultural object but has become a democratic, scientific, and geopolitical imperative . Canela, from a normative UNESCO perspective, framed it as a right of every individual and also a good thing for business . Oluoch, from a purely technical internet governance perspective, argued that multilingualism is a benchmark of the internet's success and that language barriers artificially limit the internet's potential . The convergence of a cultural diplomat, a UN normative official, and a technical internet governance professional on this elevated framing represents a notable and unexpected area of consensus.
It is somewhat unexpected that both a UNESCO normative official and an ICANN technical governance representative explicitly and enthusiastically embrace the business case for multilingualism alongside the rights-based case. Canela, whose institutional mandate is primarily normative and rights-based, explicitly stated that multilingualism is not a favour but a right, and also a good thing for business, arguing that the more inclusive we are, the more we expand opportunities for everyone . Oluoch, from a technical coordination body, similarly argued that universal acceptance is an enabler of social and economic opportunity, providing opportunities for global market expansion and a potential new client base . The alignment between a rights-based normative perspective and a market-expansion technical perspective on the same issue represents an unexpected area of consensus that could strengthen advocacy for multilingualism across different stakeholder communities.
It is notable that speakers from a linguistics and indigenous peoples perspective (Ernstreits), a normative UN agency perspective (Canela), and a cultural diplomacy perspective (Monceau) all converge on the conclusion that the problem is not primarily technological but structural. Ernstreits explicitly stated that the problem is not AI technology but runs much deeper, and that there is a structural barrier that 6,000 languages are not able to cross on their own . Canela reinforced this by noting that without investment in language documentation, digitalisation, community-led data, and local capacity, AI cannot deliver inclusive outcomes . Monceau argued that languages absent from training datasets become less capable of contributing to knowledge production itself . This consensus on the structural rather than technological nature of the problem is significant because it implies that solutions must go beyond technical fixes and require deliberate policy, investment, and governance interventions.
The session demonstrated a remarkably high level of consensus across speakers from diverse institutional backgrounds - a UN normative agency (UNESCO), a technical internet coordination body (ICANN), a cultural intergovernmental organisation (OIF), a linguistics and indigenous peoples representative, and civil society (IFLA). All speakers agreed on the core diagnosis: the linguistic digital divide is vast and expanding, affecting approximately 6,000 of the world's 7,000-plus languages . All agreed that AI represents both an opportunity and a risk for linguistic diversity , and that multilingualism is a prerequisite - not an afterthought - for meaningful digital inclusion . There was also strong consensus on the need for community involvement from the outset , multi-stakeholder collaboration , and the structural rather than merely technological nature of the barriers . The main areas of differentiation were in emphasis rather than substance: Ernstreits focused on the foundational input requirements for language digitalisation ; Oluoch emphasised the technical infrastructure of universal acceptance ; Monceau highlighted the epistemic justice dimensions and the need for new governance instruments ; and Hu focused on the monitoring and evidence-gathering mechanisms . A notable unexpected consensus emerged around the business case for multilingualism being complementary to the rights-based case , and around the framing of multilingualism as a democratic, scientific, and geopolitical imperative rather than merely a cultural concern .
Canela presents AI as offering 'extraordinary opportunities for language revitalisation' , listing specific beneficial applications such as documenting endangered languages and preserving oral traditions . However, Ernstreits emphasises that the gap between the 1,000 AI-ready languages and the 6,000 excluded ones is not narrowing despite rapid AI advancements, pointing to a structural barrier that AI technology alone cannot solve . Monceau goes further, arguing that AI has fundamentally changed the nature of the challenge: large language models no longer merely transmit information but 'increasingly organise knowledge, summarise it, recommend it, generate it' , meaning excluded languages become 'less capable of contributing to the production of knowledge itself' . While all three acknowledge both opportunities and risks, their emphasis differs significantly - Canela is more optimistic about AI's potential, Ernstreits focuses on structural inadequacy, and Monceau frames AI as a qualitatively new and more serious threat to epistemic diversity.
AI presents extraordinary opportunities for language revitalisation, including documenting endangered languages, improving translation, creating learning resources, and preserving oral traditions through digital archives
Out of 7,000 languages, only 1,000 have the foundations to enter AI domains, and the gap between these 1,000 and the remaining 6,000 is not narrowing despite rapid AI advancements
Large language models increasingly organise, summarise, and generate knowledge, meaning that languages absent from training datasets become less capable of contributing to the production of knowledge itself
Oluoch emphasises the primacy of technical infrastructure, highlighting 25-plus years of collaborative technical work and the achievement of over 150 IDN top-level domains representing 37 languages and 23 scripts . She frames universal acceptance as the key enabler, arguing that technology developers should 'treat universal acceptance as a foundational design principle, not a niche feature' . Monceau, by contrast, argues that generative AI raises questions that 'simply did not exist 20 years ago' and that existing frameworks, including the 2005 UNESCO Convention, are insufficient. He calls for 'a new generation of international governance' and specifically highlights a proposal to develop an additional protocol to the 2005 Convention addressing training datasets, fair remuneration, and transparency . These represent different primary levers for change: technical standardisation versus new international legal instruments.
ICANN has worked to implement internationalised domain name (IDN) standards since 2003, resulting in over 150 IDN top-level domains representing 37 languages and 23 scripts, unlocking millions of domain names worldwide
A new generation of international governance is needed, including a potential additional protocol to the UNESCO 2005 Convention specifically addressing challenges created by the digital environment and AI, covering training datasets, fair remuneration, and transparency
Oluoch presents a narrative of meaningful progress, citing 25-plus years of collaborative technical efforts and the delegation of over 150 IDN top-level domains representing 37 languages and 23 scripts , framing this as having 'unlocked millions of domain names worldwide' . By contrast, Hu explicitly states that the scale of the linguistic digital divide is 'outstanding and even expanding during the AI era' , and that more than 2 billion people remain unconnected . Ernstreits reinforces this pessimistic assessment, noting that the gap between AI-ready and AI-excluded languages 'is not narrowing' despite rapid AI advancements , pointing to a structural barrier . The tension between Oluoch's progress narrative and Hu's and Ernstreits's assessment of an expanding divide represents a meaningful difference in how the current state of affairs is characterised.
ICANN has worked to implement internationalised domain name (IDN) standards since 2003, resulting in over 150 IDN top-level domains representing 37 languages and 23 scripts, unlocking millions of domain names worldwide
The global digital divide and linguistic inequality continue to persist, with over 2 billion people still unconnected, and the scale of the linguistic digital divide is expanding in the AI era
Out of 7,000 languages, only 1,000 have the foundations to enter AI domains, and the gap between these 1,000 and the remaining 6,000 is not narrowing despite rapid AI advancements
Canela frames multilingualism primarily in terms of inclusion and participation, arguing that 'digital transformation cannot be truly inclusive if it is not multilingual' and that it is 'ultimately about participation, ensuring people can access and shape the digital society' . He also frames it as a rights issue and a business opportunity . Monceau, however, argues that AI has elevated multilingualism beyond a cultural concern: it is 'no longer only a cultural object, but a social object' and has 'become a democratic, scientific, and geopolitical imperative' . He contends that because AI mediates 'the conditions under which knowledge is produced, organised, and disseminated' , linguistic exclusion from AI systems threatens not just cultural diversity but 'the diversity of human perspectives themselves' . This represents a difference in the framing and urgency of the issue, with Monceau arguing for a more expansive and politically elevated understanding of what is at stake.
Digital transformation cannot be truly inclusive if it is not multilingual, and multilingualism is ultimately about participation — ensuring people can access and shape the digital society in their own languages and scripts
Multilingualism is no longer only a cultural matter but has become a democratic, scientific, and geopolitical imperative, as AI increasingly mediates the conditions under which knowledge is produced and disseminated
In a session where all speakers strongly advocate for community involvement and community-led governance, Ernstreits unexpectedly surfaces a significant gap: 'there is not enough understanding on how community level decisions are made and how this community governance is actually put into effect' . This implicitly critiques the broader discourse of the session, including Canela's call for communities to be included 'from the outset' and Hu's announcement of the New Commons Incubator initiative . While Canela and Hu present community engagement as an achievable goal with concrete mechanisms, Ernstreits suggests that the fundamental question of how community governance actually functions in practice remains unresolved. This is unexpected because it comes from within the same broadly aligned group of speakers and challenges the adequacy of the very approaches being promoted in the session.
Oluoch presents ICANN's technical achievements as substantial progress - over 150 IDN top-level domains representing 37 languages and 23 scripts - and frames universal acceptance as the key remaining technical challenge. However, Ernstreits unexpectedly reveals that even when language communities successfully build their own tools, they cannot integrate them into mainstream software: he cannot install a Livonian spell checker in word-processing software 'because it does not simply allow' . This suggests that the problem is not merely at the domain name level but extends throughout the entire technology stack, and that the technical progress highlighted by Oluoch, while real, does not address the deeper barriers that Ernstreits identifies. This tension is unexpected because both speakers are broadly on the same side of the debate, yet their accounts of the technical landscape are quite different in their implications.
Canela unexpectedly introduces a business case for multilingualism alongside the rights-based argument, stating that linguistic inclusion 'is not a favor. This is a right of every individual speaking these 7,000 plus languages, but it's also a good thing for business. The more we are inclusive, the more we expand the opportunities for everyone' . This framing - appealing to commercial incentives - sits in some tension with Monceau's framing of multilingualism as a 'democratic, scientific, and geopolitical imperative' rooted in epistemic justice . Monceau does not invoke business arguments and instead focuses on the risk of 'reducing not only linguistic diversity but the diversity of human perspectives themselves' . While not a direct contradiction, the difference in rhetorical strategy is unexpected in a session otherwise focused on rights and inclusion, and has implications for how the issue is prioritised in policy debates.
The session was characterised by a high degree of surface-level consensus among all speakers on the importance of multilingualism in the digital age, the inadequacy of the current situation for the majority of the world's languages, and the need for multi-stakeholder collaboration. However, beneath this consensus, meaningful differences emerged in four areas: (1) the degree to which AI represents an opportunity versus a structural threat ; (2) whether technical infrastructure solutions or new international governance frameworks should be prioritised ; (3) whether the linguistic digital divide is being adequately addressed or is actually expanding ; and (4) the gap between rhetoric on community-led governance and the practical reality of implementing it . The most significant unexpected disagreement was Ernstreits's implicit critique of the session's own discourse by pointing out that there is insufficient understanding of how community governance actually works in practice , even as other speakers announced new community engagement initiatives .
All speakers agree that the current state of linguistic diversity in the digital world is deeply inadequate and that the majority of the world's languages face structural exclusion. Canela states that 'more than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged' . Ernstreits confirms that 6,000 languages 'cannot enter' AI domains . Oluoch acknowledges that language barriers 'stifle' the internet's further growth . Monceau warns of the risk of 'reducing not only linguistic diversity but the diversity of human perspectives themselves' . Hu notes the divide is 'expanding during the AI era' . However, they disagree on the primary causes, the urgency, and the most effective remedies — ranging from technical infrastructure (Oluoch) to new governance frameworks (Monceau) to community-led processes (Ernstreits).
AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and if indigenous communities are not included from the outset of the process Out of 7,000 languages, only 1,000 have the foundations to enter AI domains, and the gap between these 1,000 and the remaining 6,000 is not narrowing despite rapid AI advancements The internet cannot maintain its core technical attribute of openness by favouring a single language and script; language barriers stifle the internet's further growth If AI systems are trained predominantly on a handful of dominant languages, we risk reducing not only linguistic diversity but the diversity of human perspectives themselves The global digital divide and linguistic inequality continue to persist, with over 2 billion people still unconnected, and the scale of the linguistic digital divide is expanding in the AI era
All three speakers agree that community and language group involvement is essential, but they differ on what form this should take and at what level. Canela argues that indigenous communities must be 'included in this conversation from the outset and not at the end of the process' and that 'language communities must realize that they are not alone' . Ernstreits argues that communities must be involved 'in the whole ecosystem, the whole process, since the beginning' as rights holders and resource holders , but also notes there is 'not enough understanding on how community level decisions are made and how this community governance is actually put into effect' . Monceau focuses on discoverability and governance at the international policy level , rather than at the community process level. They share the goal of community empowerment but differ on the mechanisms and the level at which action should be taken.
AI risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from training data and if indigenous communities are not included from the outset of the process Language communities must be involved throughout the entire technology ecosystem from conception to deployment, as they are rights holders, resource holders, and possess unique methodological knowledge about their languages Discoverability—the ability to find content online without actively searching for it—has become a strategic public policy objective for the Francophonie, as recommendation algorithms and generative AI increasingly determine what citizens read and watch
All three speakers agree that multi-stakeholder collaboration and embedding multilingualism into international governance frameworks is necessary. Canela welcomes the WSIS Plus 20 and Global Digital Compact's reaffirmation that 'an inclusive digital future cannot be built on a monolingual foundation' . Oluoch calls for governments to 'embed UA and linguistic and script diversity into national digital strategies' and for technology developers to treat universal acceptance as 'a foundational design principle' . Monceau notes that the OIF worked to ensure linguistic and cultural diversity became 'an explicit component of international digital governance, including during the negotiations of the Global Digital Compact' . However, they differ on whether existing frameworks are sufficient (Oluoch and Canela) or whether new legal instruments such as an additional protocol to the 2005 Convention are needed (Monceau) .
The WSIS Plus 20 review and the Global Digital Compact both reaffirmed that an inclusive digital future cannot be built on a monolingual foundation, making UNESCO's normative work more relevant than ever Multi-stakeholder collaboration is essential, with governments embedding universal acceptance into national digital strategies, technology developers treating it as a foundational design principle, and civil society raising awareness in policy debates The Organisation Internationale de la Francophonie (OIF) has actively contributed to ensuring linguistic and cultural diversity became an explicit component of international digital governance, including in the Global Digital Compact negotiations
- Linguistic and cultural diversity is as vital to humanity as biological diversity is to the planet, and the digital world represents a new domain where this diversity must be actively protected and promoted.
- More than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged, lacking foundational tools such as keyboards, fonts, language datasets, and digital services necessary for meaningful digital participation.
- Only 1,000 of the world's 7,000 languages have the foundations to enter AI domains, and the gap between these language-ready languages and the remaining 6,000 is not narrowing despite rapid AI advancements, indicating a structural barrier that technology alone cannot resolve.
- AI presents both extraordinary opportunities for language revitalisation—such as documenting endangered languages, improving translation, and preserving oral traditions—and significant risks of reinforcing existing inequalities if digitally disadvantaged languages and their communities are excluded from AI development processes.
- Large language models increasingly organise, summarise, and generate knowledge, meaning that languages absent from AI training datasets become less capable of contributing to the production of knowledge itself, making multilingualism a democratic, scientific, and geopolitical imperative rather than merely a cultural concern.
- UNESCO's 2003 Recommendation on multilingualism in cyberspace provides a foundational normative framework that remains highly relevant, and after more than two decades there is growing momentum for its implementation across member states.
- The WSIS Plus 20 review and the Global Digital Compact both reaffirmed that an inclusive digital future cannot be built on a monolingual foundation, reinforcing the centrality of linguistic diversity in global digital governance.
- Universal acceptance of internationalised domain names and email addresses in all scripts is both a technical requirement and a social and economic enabler, and its absence creates real-world barriers for millions of internet users daily.
- Discoverability—the ability to find multilingual content online without actively searching for it—has become a critical policy priority in the AI era, as recommendation algorithms and generative AI increasingly determine what citizens access and consume.
- Community involvement throughout the entire technology development process, from conception to deployment, is essential because language communities are rights holders and resource holders with unique methodological knowledge about their own languages.
- Digital transformation cannot be truly inclusive if it is not multilingual; multilingualism must be treated as a central aspect of technology development, not a peripheral or optional feature.
- A new generation of international governance instruments may be needed, including a potential additional protocol to the UNESCO 2005 Convention on Cultural Diversity, to address challenges specific to AI such as training datasets, fair remuneration for creators, and algorithmic transparency.
“More than 6,000 of the world's 7,000-plus living languages remain digitally disadvantaged. Many still lack the foundation tools, from keyboards and fonts to language data sets and digital services that make meaningful digital participation possible. The rapid emergence of artificial intelligence has made this challenge even more urgent.”
“AI presents extraordinary opportunities for language revitalization... But AI also risks reinforcing existing inequalities if digitally disadvantaged languages remain excluded from today's digital systems and the data that power tomorrow's AI, and especially if indigenous communities and other communities speaking these disadvantaged languages are not included in this conversation from the outset and not at the end of the process.”
“Out of those 7,000 languages, 1,000 are prepared or have the foundations to enter AI domains. And it sounds promising at first glance. But if we read it a little differently, then what it says is that 6,000 languages, the rest, the absolute majority of the world's languages, do not have those foundations. They actually cannot enter. And the gap between those 1,000 languages and those 6,000 languages, despite the rapid advancements in AI, is not narrowing.”
“Large language models no longer simply transmit information. They increasingly organise knowledge. They summarise it, they recommend it, they generate it. So when a vast majority of languages are absent from training data sets, they do not merely become less visible in cyberspace. They become less capable of contributing to the production of knowledge itself. This is why multilingualism is no longer only a cultural object, but a social object. It has become a democratic, scientific, and geopolitical imperative.”
“Every language embodies a particular way of describing the world, the reality. Every culture carries unique categories of thoughts, memories, and forms of knowledge. Artificial intelligence, therefore, does much more than process language. It increasingly mediates the condition under which knowledge is produced, organised, and disseminated. If AI systems are trained predominantly on a handful of dominant languages, we risk reducing not only linguistic diversity, but the diversity of human perspective itself.”
“Multilingualism is not about preserving the past, it is about preparing the future.”
“We cannot maintain its core technical attribute of openness by favouring a single language and script. Multilingualism on the internet expands the internet, and language barriers conversely can stifle its further growth.”
“With increasing population mobility and rapid urbanisation in China, the preservation of local dialects has become increasingly challenging, as younger generations tend to use standardised Mandarin more often in daily lives... How can digital technologies and language technologies be used to document, preserve, and revitalise local dialects while still supporting effective communication in modern society?”
“There is not enough understanding on how community level decisions are made and how this community governance is actually put into effect. So this is another subject to explore.”
“Digital transformation is often measured through connectivity, innovation, or technological progress. But fundamentally, its success should be measured by participation. Can people learn in their own language? Can they create in their own language? Can they access services, preserve their cultural heritage, preserve their data, and shape the digital future without leaving their language?”
How can digital technologies and language technologies be used to document, preserve, and revitalise local dialects in the context of increasing urbanisation and population mobility?
This question addresses a global challenge where younger generations shift to standardised national languages, causing local dialects to fade. Understanding how digital tools can bridge preservation and modern communication needs is critical for cultural continuity worldwide.
How can digital inclusion for languages be balanced with the practical need for effective communication in modern, multilingual societies?
There is an inherent tension between preserving linguistic diversity and enabling efficient cross-community communication. Further research is needed to identify models that achieve both goals simultaneously without sacrificing one for the other.
How can local actors and community actors (such as libraries) be brought together to take the decisions necessary to make multilingualism on the internet a practical reality, particularly in communities without established cultural institutions?
Translating high-level policy commitments into grassroots action requires concrete mechanisms for community engagement. Understanding how to mobilise local actors is essential for implementing the frameworks discussed, especially in under-resourced settings.
How is community-level governance actually put into effect, and how are community-level decisions made in the context of language digitalisation?
While community-led governance is frequently cited as a principle, there is insufficient understanding of the practical mechanisms by which communities make and implement decisions. This gap needs to be addressed to ensure that frameworks like the Global Roadmap are genuinely community-driven.
What structural barriers prevent the majority of the world's 6,000 digitally disadvantaged languages from entering AI domains, and how can these barriers be systematically dismantled?
The AI scientific panel report noted that the gap between the approximately 1,000 AI-ready languages and the remaining 6,000 is not narrowing despite rapid AI advancement. Identifying and addressing the root structural causes of this gap is fundamental to achieving linguistic equity in the digital era.
How can AI systems be designed to be multilingual by default, so that language technologies are adoptable to any language, including those with non-standard or underdeveloped writing systems?
Current technology often fails to accommodate minority and endangered languages even when community-developed tools exist. Research into default multilingual design principles is needed to remove systemic barriers that prevent these languages from functioning within mainstream digital infrastructure.
How can fair remuneration be ensured for creators whose works contribute to AI training datasets, particularly those from minority and indigenous language communities?
As generative AI increasingly relies on vast datasets, questions of intellectual property and fair compensation for language communities whose content is used for training are unresolved. This has significant implications for both cultural rights and economic justice.
How can transparency regarding AI training datasets and recommendation algorithms be guaranteed to protect linguistic and cultural diversity?
Without transparency, it is impossible to audit whether AI systems are perpetuating linguistic inequalities or marginalising certain cultures. Developing governance mechanisms to ensure accountability in AI development is a pressing area for further research and policy work.
How can authenticity, diversity, and discoverability of multilingual cultural content be preserved in AI-mediated cultural environments?
Recommendation algorithms and generative AI increasingly determine what content citizens encounter online. Research is needed into how these systems can be designed or regulated to ensure that minority and non-dominant language content remains discoverable and is not rendered invisible.
Should an additional protocol to the UNESCO 2005 Convention on the Protection and Promotion of the Diversity of Cultural Expressions be developed to specifically address the challenges created by the digital environment and artificial intelligence?
The existing normative framework predates generative AI and does not address many of the new challenges it poses for cultural and linguistic diversity. Exploring whether and how the 2005 Convention should be updated or supplemented is a critical governance question for the international community.
What evidence and data are currently lacking regarding national implementation of the 2003 UNESCO Recommendation on Multilingualism in Cyberspace, and how can governments be encouraged to contribute to the new quadriennial monitoring mechanism?
Effective policy improvement depends on robust evidence. The monitoring mechanism is newly launched and participation is uncertain. Understanding the gaps in existing data and how to incentivise government reporting is essential for UNESCO to provide meaningful technical assistance.
How can indigenous communities and speakers of low-resource languages be meaningfully included from the outset of AI development processes, rather than as an afterthought, to ensure community data stewardship and governance?
Excluding language communities from early-stage AI development risks producing tools that are inappropriate, ineffective, or harmful. Research into participatory design methodologies and governance frameworks that centre community rights holders is urgently needed.
How can universal acceptance of internationalised domain names and email addresses be embedded into national digital strategies and public procurement processes to accelerate digital inclusion?
Despite significant technical progress on internationalised domain names, many systems still fail to support non-Latin scripts. Understanding the policy levers and procurement standards that can drive universal acceptance adoption at the national level is a key area for further investigation.
How can the Global Roadmap for Multilingualism in the Digital Era be implemented at the grassroots level, and what mechanisms can ensure that its proposed actions are taken up by diverse stakeholders in practice?
The Roadmap has been developed as an open, stakeholder-driven document, but translating its 45 proposed actions into real-world outcomes requires further research into implementation models, accountability structures, and resource mobilisation strategies.
How can the methodological differences involved in creating language technologies for endangered and indigenous language communities be better understood and incorporated into mainstream technology development practices?
Developing technology for endangered languages requires different approaches than for major languages, and communities hold unique knowledge essential to this process. Further research is needed to document and disseminate these methodologies so they can inform broader technology development.
