WSIS Forum 2026 opens with calls to turn digital commitments into action

The WSIS Forum 2026 opened in Geneva with a high-level appeal for stronger international cooperation to ensure that AI and digital transformation benefit everyone, not just the countries leading the technology race. Leaders from governments, the UN, academia, and civil society argued that the next phase of the World Summit on the Information Society (WSIS) must focus on implementing long-standing commitments on connectivity, digital inclusion, and AI governance rather than creating new principles.

Moderated by ITU Secretary-General Doreen Bogdan-Martin, the opening plenary brought together UN General Assembly President Annalena Baerbock, Estonian President Alar Karis, Kazakhstan’s Deputy Prime Minister Zhaslan Madiyev, Nobel Peace Prize laureate Kailash Satyarthi, and AI Academy Asia CEO Bolor-Erdene Battsengel to discuss how leadership can shape a more inclusive digital future.

Multilateral cooperation remains essential

Opening the discussion, Annalena Baerbock warned that multilateralism is under increasing pressure, making the recently adopted WSIS+20 consensus resolution an important demonstration that countries can still work together on digital issues.

She argued that AI governance cannot be separated from broader development challenges, stressing that discussions about responsible AI have little meaning where people still lack reliable internet access or electricity.

‘We can have the best AI governance systems in the world, but they will not matter if millions remain disconnected,’ she suggested, pointing to Tanzania’s digital health initiatives, which have connected almost two million people with healthcare services through WSIS-supported projects.

Baerbock also called for stronger cross-regional partnerships and warned that digital inequality increasingly intersects with broader challenges relating to development, peace, and human rights.

Estonia outlines principles for trusted digital governance

President Alar Karis shared Estonia’s experience as one of the world’s most digitally advanced governments, presenting five principles for building trusted digital societies.

According to Karis, digital infrastructure should remain open, secure, and interoperable, while governments should embrace inclusive multistakeholder governance involving the private sector, civil society, academia, and technical communities. He also stressed that human rights must be protected online just as they are offline, digital development should include skills and literacy alongside connectivity, and global initiatives such as WSIS and the Global Digital Compact should reinforce rather than duplicate one another.

Karis also highlighted Estonia’s investments in AI education, noting that all upper secondary school teachers and students are now being introduced to AI tools and literacy as part of a nationwide programme.

Kazakhstan showcases rapid digital transformation

Kazakhstan’s Deputy Prime Minister Zhaslan Madiyev outlined his country’s digital transformation strategy, describing digital infrastructure as the foundation for economic growth.

More than 90% of Kazakhstan’s public services are now available online, he said, supported by a digital ecosystem that includes over 2,000 technology companies and dedicated digital leadership across government ministries.

Madiyev also highlighted recent legislative reforms, including a constitutional amendment protecting digital rights and personal data, alongside plans to build one gigawatt of AI computing capacity within the next three to five years.

He argued that AI should increasingly be viewed as basic infrastructure, comparable to electricity, water, and internet connectivity, rather than simply another emerging technology.

Compassion must become part of AI

The session’s strongest moral appeal came from Nobel Peace Prize laureate Kailash Satyarthi, who challenged participants to think beyond technical capabilities and focus instead on whom AI ultimately serves.

Satyarthi argued that technology is never neutral because it reflects the values of those who create it. He urged developers to embed compassion, justice, and human dignity directly into AI systems, particularly for the benefit of vulnerable children.

One of his most striking proposals was that AI engineers should spend time working with children living in poverty, conflict zones, or remote communities before designing new systems.

‘When they return to their laboratories,’ he suggested, ‘they will write different code.’

His proposal received immediate support from Bolor-Erdene Battsengel, who said she would gladly encourage her own engineers to participate.

AI skills become the new economic infrastructure

Battsengel argued that digital inclusion today depends as much on skills as on connectivity.

Drawing on AI Academy Asia’s work across Mongolia and Central Asia, she described how training around 1,000 teachers enabled those educators to introduce AI tools to approximately 50,000 children living in remote communities.

Rather than treating AI education as a standalone technical programme, she described it as an investment in future economic competitiveness.

‘We no longer simply train people to use AI,’ she explained. ‘We build economic opportunity.’

Kazakhstan similarly reported training around one million people in AI-related skills during the past year and announced plans to launch a dedicated AI University later in 2026.

From dialogue to delivery

Closing speakers from UNESCO, UNCTAD, and UNDP argued that the international community should now shift from discussing digital inclusion to implementing it.

UNESCO stressed that people, not technology, remain at the centre of the WSIS vision, while UNDP highlighted ongoing work supporting national AI strategies and public-sector capacity development across dozens of countries.

Meanwhile, UNCTAD warned that although the world is expected to invest around $800 billion in AI infrastructure this year, most of that investment remains concentrated in a small number of countries. Developing economies, speakers argued, risk arriving ‘after the rules have already been written’ unless international cooperation accelerates.

The session concluded with broad agreement that the next phase of WSIS should focus less on developing new declarations and more on delivering measurable progress in connectivity, AI skills, trusted digital infrastructure, and inclusive governance.

Twenty years after the original WSIS process began, participants agreed that the challenge is no longer defining a vision for an inclusive information society, but ensuring that vision becomes reality.

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OECD report warns AI skills gaps could widen labour inequalities

The OECD has warned that stronger skills policies will be needed to prevent AI from widening labour-market inequalities.

In its policy paper Skills in the AI age, the organisation says AI can boost productivity, support economic growth and create new opportunities. Still, it may also deepen existing gaps if workers and firms are not prepared for the transition.

AI adoption by firms has accelerated rapidly in OECD countries, rising from around 7% to 20% of businesses between 2021 and 2025.

The OECD says the increase has been driven partly by the spread of generative AI tools such as ChatGPT and Copilot.

Adoption remains uneven. Larger firms and start-ups are more likely to use AI, while small and medium-sized enterprises face barriers including costs, infrastructure gaps and shortages of skilled workers.

The paper also cautions that exposure to AI does not automatically mean a job is likely to disappear.

High-skill occupations such as managers, professionals and engineers are among the most exposed to AI, but are less likely to be automated because they rely heavily on non-routine cognitive and social skills.

Low- and middle-skill roles involving routine manual or cognitive tasks face higher automation risks.

The OECD says workers will need a mix of foundational skills, ICT skills and complementary skills such as critical thinking, creativity and collaboration.

Advanced AI skills, including machine learning and data science, remain scarce, with workers possessing such skills accounting for around 1% of the workforce.

The organisation calls for stronger education and training systems, wider lifelong learning, AI literacy for all workers, employer-led training and better coordination between governments, industry and education providers.

Why does it matter?

The OECD report frames AI skills as a core labour-market issue, not only a technology-sector concern. If training systems do not adapt, AI adoption could widen gaps between large firms and SMEs, between high- and low-skilled workers, and between regions with different levels of digital capacity. The report also makes an important distinction for policy: jobs highly exposed to AI are not necessarily the jobs most likely to disappear, meaning governments need more targeted approaches to reskilling, worker support and AI literacy.

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NVIDIA says nations should build AI around local priorities

NVIDIA says countries are increasingly building AI around domestic infrastructure, local data, skilled workforces and national business ecosystems.

According to the company, this approach allows governments and industries to develop AI systems that reflect local languages, cultures, regulations and public priorities.

NVIDIA said national AI capabilities now go beyond computing infrastructure. Countries are also developing foundation models trained or fine-tuned on local datasets, helping systems better reflect regional dialects, cultural context and specific domains.

The company identifies five elements of a national AI strategy: trusted AI aligned with national goals, an AI-ready workforce, locally trained models and data, a strong domestic AI ecosystem and AI factories for training and inference.

NVIDIA describes AI factories as locally owned, operated and governed AI clouds that provide computing capacity through public-private partnerships.

The blog highlights examples, including AI agents supporting public-service workflows in France, multilingual AI models in India and AI tools for legal services in Brazil.

NVIDIA argues that domestic infrastructure, local data and homegrown talent can help countries apply AI to economic growth, public services, climate resilience, cybersecurity and social development.

Why does it matter?

NVIDIA’s framing reflects a broader shift in how governments and companies talk about AI: not only as a commercial technology, but as strategic infrastructure. Local compute, datasets, models and skills can help countries adapt AI to their own languages, laws and public needs. At the same time, the source is a vendor blog, so its emphasis on AI factories and accelerated computing should be read as part of NVIDIA’s commercial and policy positioning in the sovereign AI debate.

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Global groups call for stronger AI accountability rules

Global organisations have called for AI governance frameworks that prioritise trust, information integrity and child safety, backed by enforceable accountability from AI companies.

The European Broadcasting Union delivered the message alongside Fondation Abeona, the Global Trust Challenge and 5Rights Foundation at a side event of the UN Global Dialogue on AI Governance in Geneva.

The groups warned that AI companies are increasingly shaping how people access and evaluate information, while traditional markers of editorial accountability, such as bylines and editorial principles, may become less visible to audiences.

They also pointed to declining public trust in news and rising use of AI chatbots as information sources.

Child safety was another central concern. 5Rights Foundation warned that children are adopting generative AI faster than adults, while many AI systems are not designed with children’s rights and development in mind.

The organisations presented three recommendations to the UN Global Dialogue.

They called for public service media to be recognised as trust anchors in national AI governance frameworks.

They also urged stronger safeguards requiring AI systems that affect children to be demonstrably safe, accurate and effective before reaching the market.

A third recommendation called for open, interoperable standards and sandboxed environments, so that information infrastructure is not shaped solely by technology companies.

Why does it matter?

The side event links AI accountability to two sensitive areas: information integrity and child safety. As AI systems become gateways to news, search and everyday information, governance frameworks will need clearer rules on accuracy, sourcing, attribution and responsibility. The child-safety recommendation also establishes a stronger accountability standard: AI systems that affect children should be proven safe and effective before deployment, rather than relying on harm mitigation after problems emerge.

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Viber brings ChatGPT into its messaging app

Rakuten Viber has launched ChatGPT-powered tools inside its messaging app through a new partnership with OpenAI.

The integration allows users to ask questions in a dedicated ChatGPT chat or tab, mention @ChatGPT in supported private and group chats, summarise conversations and shared links, polish draft messages, translate messages and remix images.

Viber said most tools are available after users update the app, without requiring ChatGPT registration.

Image Remix requires users to log in to ChatGPT within Viber or create a free account. OpenAI says availability may vary by region, app version, account and chat type.

The privacy model depends on the feature used. Viber says its core messaging features remain protected by end-to-end encryption, while ChatGPT-powered tools are activated only when users choose to use them.

When a ChatGPT-powered feature is used, Viber sends OpenAI the information needed to process that request. Depending on the feature, that may include selected messages, drafts, images, prompts, link content, messages that mention @ChatGPT, timestamps, approximate location and a Viber-generated hashed user ID.

OpenAI says data sent from ChatGPT-powered features in Viber personal and group chats is not used to train its models, except for conversations in the ChatGPT tab.

If a user connects a ChatGPT account, activity may be associated with that account and handled under OpenAI’s standard retention and data settings.

Why does it matter?

The launch brings generative AI into everyday messaging, moving ChatGPT from a separate assistant into conversations, links, drafts, translations and images. That makes AI tools more accessible, but also creates a more complex privacy model. Users need to understand when messages remain inside an end-to-end encrypted chat and when selected content is sent to OpenAI for processing. For messaging platforms, the key governance challenge is adding useful AI features while preserving user control, clear consent and transparent data handling.

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X expands creator tools to reduce AI slop and recycled content

X has introduced new video editing and recording tools to encourage users to create original content directly on the platform.

The update includes multilingual caption overlays, customisable subtitles, trimming tools, and green-screen features that let creators to combine videos with photos from their devices or existing X posts.

X head of product Nikita Bier said the company wants to make it easier for users to create videos natively rather than relying on content first published elsewhere.

The update comes as X faces growing pressure over recycled posts, stolen videos and low-quality content that can be amplified through engagement and monetisation systems.

Bier said many high-performing accounts continue to repost videos that went viral years earlier, reducing incentives for original creators to publish directly on X.

Video now accounts for almost half of all impressions on the platform, making content quality and attribution increasingly important for X’s creator strategy.

The company has also taken steps to reduce rewards for accounts that reupload material from smaller creators to game its revenue-sharing programme.

The new tools are therefore part of a wider push to make original video creation easier while discouraging recycled and unattributed content.

Why does it matter?

X’s update shows how platform design and creator incentives are becoming part of the response to low-quality, recycled and synthetic content. Native editing tools can help users produce original material, but the harder governance problem is attribution and monetisation. As AI makes it cheaper to generate or repackage text, images and video at scale, platforms will need stronger systems to distinguish original human creativity, authorised reuse and automated content farming.

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Finland opens consultation on platform work legislation implementing EU rules

Finland’s Ministry of Economic Affairs and Employment has opened a public consultation on a draft Platform Work Act that would transpose the EU Platform Work Directive into national law.

The consultation runs from 8 July to 28 August 2026.

A tripartite working group with representatives from government ministries, employer organisations, trade unions and occupational safety authorities prepared the draft act. The group did not reach a unanimous position.

The proposed act would introduce a legal presumption of an employment relationship for people working through digital labour platforms.

Its purpose is to make it easier to determine whether platform workers are employees or self-employed by shifting the burden of proof from the worker to the platform company.

The proposal also includes measures to increase transparency in algorithmic management, including automated decision-making and monitoring systems.

It would strengthen the protection of platform workers’ personal data and require the impact of automated systems to be considered when safeguarding workers’ health and safety.

Occupational safety and health authorities would be able to impose fines on platform companies and intermediaries that breach the rules. The draft also includes a prohibition on reprisals.

Additional national rules would require platform companies to verify workers’ identities and take reasonable steps to ensure contractual terms are appropriate.

The act is intended to enter into force on 2 December 2026 and would apply to platform work carried out in Finland, regardless of where the digital labour platform is established.

Why does it matter?

Finland’s proposal shows how the EU member states are beginning to turn the Platform Work Directive into national rules. The draft addresses two central issues in the gig economy: employment status and algorithmic management. By shifting the burden of proof to platform companies and increasing transparency around automated decision-making, the proposal could give workers stronger protections while forcing platforms to document how their systems manage work, data and safety.

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Digital investment gains momentum in South Africa

South Africa is strengthening its position as a digital investment destination, with growing commitments from global technology companies, according to the Presidency of the Republic of South Africa. The government says new investments in cloud infrastructure, AI and digital skills will support economic growth, job creation and innovation.

Recent announcements include Google’s plans for a Digital Exchange Port in the Eastern Cape, a digital innovation centre in Soweto and AI support for local start-ups. The government also highlighted previous investments by Amazon Web Services, Microsoft and Mastercard to expand cloud infrastructure and cybersecurity capabilities.

The Presidency says cloud computing and AI can improve productivity, support small businesses and enhance public services, while helping address challenges in education, healthcare and climate change. It also believes stronger digital infrastructure will reinforce South Africa’s role as Africa’s largest cloud market.

The government says digital expansion must be matched by safeguards that protect privacy, sovereignty and security. It adds that investment in domestic cloud infrastructure and collaboration between government, business and civil society will help build a secure and inclusive digital future.

Why does it matter?

The statement highlights the growing importance of digital infrastructure as a driver of economic development. The Presidency argues that cloud computing, AI and digital skills can improve business competitiveness, public services and employment while attracting further private investment.

It also reflects a broader focus on digital sovereignty. Alongside expanding AI and cloud adoption, the government emphasises the need to protect data, strengthen cybersecurity and develop domestic digital capabilities to reduce long-term dependence on external providers.

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EU calls for evidence-based AI governance at UN dialogue

The European Union has called for evidence-based AI governance and stronger international cooperation during the first UN Global Dialogue on AI Governance in Geneva.

Speaking on behalf of the EU and its member states, European Commission Director-General Roberto Viola said the meeting was the first dedicated UN gathering on AI governance involving all members of the organisation.

The EU said broad stakeholder participation was essential for the relevance of the Dialogue’s outcomes and could help lay the foundation for stronger international cooperation.

The statement said frontier AI is advancing quickly, creating opportunities in biotechnology, industrial AI, robotics and public-interest innovation.

It also pointed to the EU investments in AI Factories, AI Gigafactories, computing capacity and a sovereign AI ecosystem.

At the same time, the EU warned that rapid AI development creates societal, economic and security risks.

The statement highlighted risks to children’s safety and rights, possible misuse of AI against critical infrastructure, the environmental footprint of AI systems and concerns over generative AI’s impact on cultural creators and journalism.

The EU described its AI governance approach as human-centric, risk-based and grounded in international human rights law.

It also emphasised the role of the Independent International Scientific Panel on AI, arguing that political debates on AI are moving faster than the evidence base.

The EU said independent, peer-reviewed and internationally validated evidence should provide a factual baseline for AI policy decisions.

Why does it matter?

The EU statement shows how Brussels wants to shape global AI governance around trust, human rights, scientific evidence and multistakeholder cooperation. Its focus on frontier AI risks also reflects a growing concern that policy processes are struggling to keep pace with advances in capability. By backing the Independent International Scientific Panel on AI, the EU argues that global AI governance should be grounded in evidence rather than projections, lobbying, or geopolitical competition.

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Inaugural UN Global Dialogue on AI Governance ends with call to turn principles into action before 2027

The inaugural United Nations Global Dialogue on AI Governance concluded in Geneva with a clear message from governments, industry, civil society, and international organisations: the success of global AI governance will depend not on the principles adopted, but on the concrete actions taken before participants reconvene in New York in 2027. Speakers repeatedly argued that narrowing the widening AI divide, strengthening international cooperation, and embedding human rights into AI governance will require practical implementation rather than new declarations alone.

From principles to practice

Iceland’s President Halla Tómasdóttir opened the closing plenary by arguing that AI’s future will be shaped not by technological capability but by human choices about power, accountability, and inclusion. Drawing on Iceland’s experience of harnessing natural resources for the public good, she said AI should likewise serve society rather than narrow interests.

‘Access without agency is not inclusion,’ she said, warning that communities furthest from today’s centres of technological power must become co-authors of the AI future rather than passive recipients of it. She also cautioned that ‘principles without practice can inspire false comfort’, arguing that AI governance should ultimately be judged by whether it increases people’s dignity, opportunity, and hope.

Microsoft Vice Chair and President Brad Smith echoed those concerns, presenting new data showing that AI adoption has reached 27% of the working-age population in the Global North, compared with just 15% in the Global South. Without intervention, he warned, that gap is likely to widen further over the coming year. Smith identified four priorities for more equitable AI adoption: expanding access to electricity, completing global internet connectivity, supporting multilingual AI models, and making digital skills widely available. He also acknowledged that AI capabilities have advanced much faster than governance frameworks over the past year, calling interoperability between national governance approaches essential to avoid a fragmented regulatory landscape.

Building an inclusive global governance system

Several speakers underlined that no country or institution can govern AI alone and that the UN remains uniquely positioned to convene an inclusive international process.

Guy Ryder, UN Under-Secretary-General for Policy, described the organisation’s greatest strength as its ability to bring together all 193 UN member states alongside businesses, researchers, and civil society. He acknowledged the need for stronger coordination across UN agencies while arguing that the Global Dialogue should become a recurring platform connecting AI governance efforts across international organisations and forums.

Civil society representative Raman Jit Singh Chima of the Association for Progressive Communications urged policymakers to build on existing digital governance mechanisms such as the World Summit on the Information Society (WSIS) and the Internet Governance Forum (IGF), rather than replacing them with entirely new structures. He also warned that AI governance must be firmly grounded in human rights and informed by the experiences of women, girls, and marginalised communities, who are often disproportionately affected by AI systems while remaining underrepresented in governance discussions.

Namibia’s Minister of Information and Communications Technology Emma Theofelus shifted the discussion towards implementation, calling on the international community to help countries translate global AI principles into national legislation, invest in digital infrastructure, and strengthen scientific and technical capacity in developing economies. She argued that meaningful participation requires recognising countries’ different starting points rather than assuming all governments have equal resources and capabilities.

Dialogue identifies common priorities

The closing session also reflected on the discussions held across the Dialogue’s four thematic tracks, which collectively identified recurring governance gaps around infrastructure, funding, skills, trust, and participation.

Gaia Marcus, Director of the Ada Lovelace Institute, argued that public participation should become a source of evidence rather than a symbolic consultation exercise. Those most affected by AI systems, including workers facing automation and vulnerable communities, should have clear channels to influence policy decisions, she said, adding that trust depends on accountability rather than public relations.

Jaan Tallinn, co-founder of the Future of Life Institute, offered one of the session’s starkest warnings, arguing that AI capabilities are now advancing on a quarterly basis while governance processes typically evolve over years. He cautioned that frontier AI companies are pursuing increasingly capable systems despite acknowledging significant safety challenges, making international cooperation more urgent than ever.

Rapporteurs from the four thematic clusters highlighted broad convergence across the dialogue. Participants repeatedly called for stronger AI capacity building, practical interoperability between governance frameworks, greater support for local adaptation and multilingual AI, stronger human rights safeguards, and wider participation from developing countries and civil society. Rather than competing to build the most powerful AI systems, several speakers argued that countries should focus on developing the institutions, skills, and governance mechanisms needed to deploy AI responsibly.

Geneva lays the foundation for New York

Closing the event, co-chair Rein Tammsaar said the inaugural dialogue had brought together more than 4,200 registered participants from nearly 170 member states, alongside representatives of industry, academia, civil society, and international organisations. He argued that the discussions demonstrated the world’s challenge is no longer a lack of AI principles, but the absence of practical mechanisms to implement them.

Tammsaar said participants had moved beyond abstract debates towards discussions on national AI strategies, legal safeguards, teacher training, and public-sector capacity building. He also reiterated that the AI divide is about far more than access to technology, it is also about the ability to shape, govern, and benefit from AI.

Co-chair Egriselda López concluded that the Global Dialogue is intended not to replace existing AI governance initiatives but to connect them, strengthen cooperation, and help countries learn from one another. Recalling a remark from a representative of a small country who said, ‘We are here not to be a footnote,’ López said the statement captured the spirit of the inaugural dialogue.

Both co-chairs agreed that Geneva should be viewed not as the end of a process but as its beginning. They urged participants to return home with concrete commitments and practical actions so that, when the second UN Global Dialogue on AI Governance convenes in New York in May 2027, progress can be measured not by new principles but by tangible improvements in inclusion, capacity, and international cooperation.

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