Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Amb Thomas Schneider

20 Feb 2026 12:00h - 13:00h

Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Amb Thomas Schneider

Session at a glanceSummary, keypoints, and speakers overview

Summary

Thomas Schneider opened the session by thanking India and the global audience for hosting the AI Impact Summit in Delhi, emphasizing the event’s significance for worldwide AI governance [1-2]. He noted that Switzerland backs the summit’s focus on the three sutras-people, progress, and planet, and stresses that AI should be developed for the benefit of all [3-4]. Schneider reiterated that AI must promote economic and social progress while respecting human dignity, autonomy and the planet [5-6]. He announced that Switzerland will host the next AI Summit in Geneva in 2027 and expressed enthusiasm about the strong interest from Swiss and international stakeholders [8-10]. According to him, the Swiss motivation is not to stage a show but to meaningfully help humanity harness AI’s transformative potential for good, not harm [12-14]. He invited participants to share ideas and emphasized that the agenda for the Geneva summit will be co-created with all parties, though it will retain a distinct Swiss perspective [15-18]. Schneider pledged to build on existing governance mechanisms such as the UN Internet Governance Forum, AI for Good Summit, ITU-UNESCO forums, OECD and other regional bodies, avoiding duplication of effort [20-22]. He also highlighted collaboration with the Diplo Foundation and the Geneva Internet Platform to help less-resourced communities navigate the complex AI governance ecosystem [23]. Recognising AI’s breadth, he argued that no single institution can address all challenges, and that governance will have to accommodate complexity [24-27]. He drew a parallel with the two-century evolution of engine regulation, noting that societies have created thousands of technical, legal and societal norms to govern physical machines [28-38]. Switzerland has already begun work on new technical standards, binding and non-binding legal instruments, and highlighted the Vilnius Convention on AI, Human Rights, Democracy and the Rule of Law as a principle-based framework for all countries [42-49]. Nevertheless, he warned that additional sector-specific norms will be needed to ensure coherence and complement the Convention [52-53]. Finally, Schneider positioned Switzerland as a facilitator that will foster open, respectful dialogue and pragmatic cooperation to ensure AI contributes to peace, prosperity and dignity worldwide, looking forward to the 2027 Geneva summit [55-58].


Keypoints


Major discussion points


Inclusive, human-centric vision for AI – The speaker stresses that AI must be developed “so that everyone in the world can benefit” while respecting human dignity, autonomy and the planet [4-6][14].


Switzerland’s role as facilitator for the 2027 Geneva AI Summit – Switzerland will host the next summit, build on existing platforms (UN-IGF, AI for Good, OECD, etc.), and act as a bridge-builder for all stakeholders, especially less-resourced communities [8-10][20-23][55-56].


Building on and expanding existing governance instruments – Ongoing work on technical, legal and societal norms is highlighted, with special reference to the Vilnius Convention on AI, Human Rights, Democracy and the Rule of Law as a “principle-based framework” that can be adapted globally [41-49][50-52].


Historical analogy to engine/combustion governance – The speaker draws a parallel between past regulation of physical-engine technologies and the need for a layered, context-specific AI governance ecosystem, noting that no single institution can cover all aspects [27-34][38-41].


Call for pragmatic, collaborative action and gap-filling – The remarks urge participants to identify shared priorities, avoid reinventing existing mechanisms, and work together on binding and non-binding norms that are coherent and interoperable [20-24][53-55].


Overall purpose / goal of the discussion


Thomas Schneider’s address is a diplomatic invitation and roadmap: Switzerland is positioning itself as a neutral convenor for the next global AI governance summit (Geneva 2027), outlining the principles that should guide AI development, summarising the work already underway (technical standards, legal instruments, the Vilnius Convention), and soliciting ideas from the international community to shape a collaborative, multi-stakeholder agenda that fills current governance gaps.


Overall tone


The tone is consistently courteous, optimistic and constructive. It begins with gratitude and a celebratory note [1-3], moves into a principled, inclusive framing of AI’s purpose [4-6], shifts to a pragmatic description of Switzerland’s facilitative role and existing ecosystem [20-23], becomes more concrete when presenting specific governance tools (the Vilnius Convention) [46-52], and concludes with an earnest, forward-looking call for partnership [55-58]. The tone remains steady throughout, with only a slight increase in specificity and urgency when discussing concrete instruments and next steps.


Speakers

Thomas Schneider


Areas of expertise: AI governance, international technology policy, human rights, democracy, rule of law, digital infrastructure.


Roles and titles: Former Chair of ICANN’s Governmental Advisory Committee (2014-2017) [S1]; Lead negotiator of the Vilnius Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law; Representative of Switzerland at the AI Impact Summit and member of the Swiss Summit team.


Additional speakers:


(none)


Full session reportComprehensive analysis and detailed insights

Thomas Schneider opened the session by thanking India and the worldwide audience for hosting the AI Impact Summit in Delhi, describing the gathering as a “pivotal moment for global AI governance” and expressing appreciation for the diverse group of leaders, innovators, researchers and civil-society representatives that had been assembled [1-2]. He noted that Switzerland fully supports the summit’s focus on the three sutras-people, progress, and planet-and affirmed the shared ambition that artificial intelligence be developed and deployed so that “everyone in the world can benefit” [3-4].


Schneider then articulated an inclusive, human-centred vision for AI, insisting that the technology must promote both economic and social progress while safeguarding human dignity, autonomy and the planet, which he described as “the basis for all life” and added that, at least so far, “we haven’t found other life elsewhere” [5-6]. He warned that AI’s transformative power is comparable to historic breakthroughs such as the printing press, radio, television, the internet and the combustion engine, and stressed that this power must be used to raise, not lower, the quality of life for all peoples [13-14].


Switzerland’s role as host of the next AI Impact Summit in Geneva in 2027 was announced, with Schneider stressing that the purpose is not to stage a “show” but to make a substantive contribution to ensuring AI is used for good, not for harm [12-14]. He also clarified that the AI Impact Summit has previously been held in the United Kingdom, Korea, Paris and Delhi, with a future summit planned for Japan [30-33].


Inviting participants to submit their ideas, Schneider emphasized that the agenda for the Geneva summit will be co-created with all stakeholders while retaining a distinct “Swiss flavour” rooted in constructive, creative, innovative and pragmatic problem-solving [15-18]. He pledged that the summit will build on existing multistakeholder platforms-the UN Internet Governance Forum, the AI for Good Summit, the Global Forum on Ethics of AI, the OECD, the Global Partnership on AI (GPI) and other regional bodies-rather than duplicating processes that already work [20-25][34].


To ensure that less-resourced communities are not left behind, Schneider announced collaboration with the Diplo Foundation and the Geneva Internet Platform, which will help these groups navigate the complex AI-governance ecosystem, raise their voices and gain access to relevant information [23].


Acknowledging the breadth and context-specificity of AI, he argued that no single institution or instrument can capture the whole transformation, and that the community must learn to “live with a certain complexity” of governance [24-27]. He drew a historical parallel with the regulation of combustion engines over the past two centuries, describing how societies have developed thousands of technical, legal and societal norms-from highly harmonised safety standards for aircraft to more varied regulations for automobiles-to govern physical machines [28-41].


Switzerland has already begun to address AI governance gaps by analysing existing frameworks, drafting technical standards, and developing both binding and non-binding legal instruments [42-46]. Schneider highlighted the Vilnius Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law, which he helped negotiate with 55 countries. The Convention provides a principle-based, flexible framework that can be embedded in diverse national legal traditions, allowing for interoperable but not identical implementations [46-49]. He added that, while the Convention is expected to enter into force soon, additional sector-specific norms-both binding and non-binding-will be needed to ensure coherence across the governance landscape [50-52].


The period leading up to the Geneva summit will be used to identify remaining gaps in global and regional AI governance, to engage all countries and stakeholders in shaping a shared vision, and to develop pragmatic, workable steps that balance innovation with the mitigation of legitimate risks [53-55]. Switzerland will act as a facilitator, building bridges and fostering an open, respectful dialogue that offers “pragmatic structures for trustworthy cooperation” so that AI can contribute to peace, prosperity, security, and dignity worldwide [56-58][58-59].


In closing, Schneider reiterated the centrality of dignity, thanked the audience for their support and attention, and expressed anticipation of collaborative work in the coming months and of meeting participants in Geneva in 2027 [59].


Session transcriptComplete transcript of the session
Thomas Schneider

So, dear friends and colleagues from India and from all around the world, it is an honor and pleasure to be here with you in Delhi at this pivotal moment for global AI governance. And first, of course, I want to express my gratitude to the government of India for bringing together a diverse and distinguished group of leaders, innovators, researchers, civil society representatives from all around the world. Switzerland very much welcomes and supports the focus of the AI Impact Summit, which is well presented in the three sutras, people, progress, planet, as we all have learned in the past weeks and months. And we fully agree that we need to develop and use AI in a way that everyone in the world can benefit from the potential that AI offers.

This includes economic and societal social progress for everyone. At the same time, of course, we need to make sure that we are able to develop and use AI in a way that everyone in the world can benefit from the that we respect human dignity and autonomy, as well as our planet, which is the basis for all life that we know, at least so far. We haven’t found other life elsewhere. So we are honored and very proud to be hosting the next AI Summit in Geneva in 2027. It is overwhelming to see already now and feel the momentum and the enthusiasm that we sense on national level among all Swiss stakeholders, as well as the very positive reactions from our partners from all around the world, who are all eager and willing to cooperate with us and contribute to the summit in Geneva.

Already now, we are approached by many governmental and other stakeholders that share their ideas with us about what the Geneva Summit and the road leading up to it should focus on and what it should achieve. And let me assure you that this is very welcome and helpful to us. The Swiss motivation for organizing the next summit is to, not to make a show, it is to substantially and meaningfully contribute to achieving the goal that mankind and the world want to achieve. it is to substantially and meaningfully contribute to achieving the goal that mankind uses the unprecedented potential of AI to achieve the goal that mankind uses for good and not for bad. This potential of AI, which may be at least as transformative as the invention of the printing press, radio, television and the internet, as well as the invention of the combustion and other engines together, this potential must be used to raise and not lower the quality of life of all people in the world and not just a few.

AI must strengthen and not weaken the dignity and autonomy of all people in the global north, south, east and west or whatever we call the region where we live and help us all to live together in peace and prosperity. So we are very keen to hear your ideas about what we could and should do together to achieve this goal. Of course, we do have some ideas on our own, but we have not decided yet about the focus of the Geneva Summit. We will discuss it with you together, shape it together. Of course, there will be a Swiss flavor to the Geneva Summit, which is based on the way we work and what we understand, our role in the international community.

We will try to be constructive. Thank you. creative and innovative and try to find pragmatic and fair solutions through bringing together all stakeholders in their respective roles and with their respective experience and at the same time we will try not to reinvent the wheel and duplicate processes and instruments that already exist and that work but rather we will try to build on them because we do already have a number of dialogue platforms for AI governance and for sharing good practices such as the UN Internet Governance Forum and its national and regional initiatives, the AI for Good Summit and the Global Forum on Ethics of AI organized by ITU, UNESCO and many other UN related processes and forum.

We have other forum like the OECD, GPI and other international and regional organizations and of course we will build on the outcomes of the previous summit in the UK, Korea, Japan, sorry Paris, Japan will follow at some point in time, UK, Korea, Paris and of course here in Delhi and we should not forget There are many academic and other networks that provide expertise and solutions. So we will do our best to bring them all together. And with the help of our longstanding partners from the Diplo Foundation and the Geneva Internet Platform, we will also try to facilitate the orientation in this complex governance ecosystem, in particular for less resourced communities, so that also they know better about what is going on where and where we need to raise our voice so that they are actually heard.

At the same time, we consider the transformative power of AI to be too big, broad and context -specific so that no one single institution and no single instrument will allow us to seize all opportunities and will solve all problems. So we will have to learn to live with a certain complexity of the governance of this transformation. But also, this is not a completely new situation. If we look at how we have governed the transformative power of combustion and other engines in the past 200 years, there are some lessons that we can also apply to AI. While today we are developing AI to automate cognitive labor, we have developed engines to automate physical labor. We have put engines in vehicles or machines to move goods or people from one place to another.

And we have put engines in machines to produce food or other goods automatically. And we do not expect one single institution or instrument to govern all of this. But we have developed a set of thousands of technical, legal, and also non -written societal norms that guide us in the use of these machines. We have regulated also the infrastructure that these machines use. We are setting requirements and liabilities for the people that develop, handle, and steer these machines. And we have developed instruments to protect people that are affected by the impact of these machines. And we are seeing different levels of harmonizations when it comes to regulating machines and engines. As an example, of course, we know that the airline industry is much more harmonized because it’s global than the way we regulate cars.

Cars driving in our streets on one side or the other side, where there’s more diversity possible. So after 200 years, we are still continuing to adapt the governance framework for engine driven machines, depending on the context of use. And we need to do exactly the same with AI. We need to develop appropriate technical, legal and societal frameworks and norms that allow us to develop and use AI for good in many different ways. And this work has already begun. We have analyzed our existing governance frameworks, have started to identify and fill the gaps. We have started to work on technical norms for AI systems. We have started to work on binding and non -binding legal instruments. And of course, in this regard, I’d like to particularly highlight the Vilnius Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law, for which I had the honor to lead the negotiations among 55 countries from all over the world at the Council of Europe in Strasbourg.

This provides for a principle based framework, not just for Europe, but for all countries. It provides for a principle based framework, not just for Europe, but for all countries on our planet that value human rights, democracy and the rule of law. so that our societies and economies can use AI to innovate, while at the same time we uphold our respect to human dignity and autonomy, also in the context of AI. The principles set out by the Vilnius Convention are simple and clear, but the Convention leaves enough leeway to participating states in order to allow to embed these principles in their existing legal and regulatory institutions and traditions. This will allow many countries to become parties to this global convention and to make sure that their governance frameworks may, although not become identical, but at least interoperable.

This Convention, which we hope will be ratified and enter into force very soon, will become one important instrument to make sure that AI is used for the good and not the bad. But of course, there will have to be many more binding and non -binding norms and more sector -specific norms and instruments to complement it, which hopefully will be… at least coherent in their logic and spirit. So we will use the time until the Geneva Summit next year to continue to identify gaps in global and regional governance of AI and achieve our shared objectives so that AI is used for innovation, while at the same time legitimate concerns and risks are appropriately addressed. Switzerland will be the host of the next summit, but we know that we will not be able to achieve anything on our own.

So we look forward to collaborating with all of you, with all countries and all stakeholders from the global north, south, east and west, and we will first try to identify areas where there’s a willingness and a shared vision to make progress together and then work with all of you on pragmatic and workable steps towards this vision. We will only be the facilitators trying to build bridges and build a climate of open and respectful and constructive dialogue, trying to offer pragmatic structures for trustworthy cooperation so that we can all use the potential AI, to say it again, to live together in peace, prosperity and security. Dignity. Dignity. The Swiss Summit team and I personally are looking forward to collaborating with all of you in the coming months, and we look forward to seeing you all in Geneva in 2027.

Thank you for your support and attention.

Related ResourcesKnowledge base sources related to the discussion topics (18)
Factual NotesClaims verified against the Diplo knowledge base (5)
Confirmedhigh

“Thomas Schneider is a Swiss government official or diplomat representing Switzerland in AI governance discussions.”

The knowledge base identifies Thomas Schneider as a Swiss government official/diplomat who leads negotiations among many countries, confirming his representative role for Switzerland.

Confirmedhigh

“The summit’s focus on three sutras—people, progress, and planet—is a guiding principle.”

The three guiding principles called sutras—people, progress, planet—are explicitly listed in the knowledge base as the summit’s guiding principles.

Confirmedhigh

“The summit emphasizes a human‑centred approach that respects human dignity and autonomy.”

Keynote materials stress that technology must serve humanity, respect human dignity, and keep humans at the centre, aligning with the reported human‑centred vision.

Additional Contextmedium

“AI’s transformative power is comparable to historic breakthroughs such as the printing press, radio, television, the internet and the combustion engine.”

Analyses of prior sessions note similar comparisons of AI to historic technologies like the printing press, radio, television and the internet, providing contextual support for this analogy.

Confirmedhigh

“The summit will build on existing multistakeholder platforms such as the UN Internet Governance Forum.”

The IGF is cited in the knowledge base as a successful multistakeholder platform for internet and AI governance, confirming its relevance to the summit’s collaborative approach.

External Sources (73)
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S2
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https://dig.watch/event/india-ai-impact-summit-2026/building-trusted-ai-at-scale-cities-startups-digital-sovereignty-keynote-amb-thomas-schneider — And we have put engines in machines to produce food or other goods automatically. And we do not expect one single instit…
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Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
T
Thomas Schneider
10 arguments184 words per minute1721 words558 seconds
Argument 1
AI must benefit all humanity, respecting dignity, autonomy, and the planet (Thomas Schneider)
EXPLANATION
Schneider emphasizes that AI development and deployment should serve the entire global population, safeguarding human dignity and autonomy while also protecting the planet. He frames this as a universal ethical imperative for AI governance.
EVIDENCE
He states that AI should be developed and used so that everyone in the world can benefit, including economic and societal progress for all, and that this must be done while respecting human dignity, autonomy, and the planet as the basis for life [4-6].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Schneider’s call for AI that benefits everyone while upholding human dignity and autonomy is echoed in his keynote where he stresses developing AI so that “everyone in the world can benefit” and that respect for dignity and autonomy must be maintained [S4].
MAJOR DISCUSSION POINT
Inclusive, human‑centred AI vision
Argument 2
AI’s transformative potential should raise quality of life globally, not just for a few (Thomas Schneider)
EXPLANATION
Schneider argues that the unprecedented power of AI should be harnessed to improve living standards worldwide, rather than concentrating benefits among a limited elite. He likens AI’s impact to historic breakthroughs such as the printing press and the internet.
EVIDENCE
He describes AI’s potential as comparable to the printing press, radio, television, internet, and combustion engines, and insists that this potential must be used to raise, not lower, the quality of life for all people and not just a few [13-14].
MAJOR DISCUSSION POINT
Transformative potential for global well‑being
Argument 3
Switzerland will host the next summit to meaningfully contribute to global AI governance, not as a showcase (Thomas Schneider)
EXPLANATION
Schneider states that Switzerland’s motivation for organizing the 2027 Geneva AI Summit is to make a substantive contribution to AI governance rather than to stage a publicity event. The hosting is presented as an act of responsibility and leadership.
EVIDENCE
He announces that Switzerland is proud to host the next AI Summit in Geneva in 2027 and clarifies that the Swiss motivation is “not to make a show, it is to substantially and meaningfully contribute to achieving the goal that mankind uses the unprecedented potential of AI for good” [8][12].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The announcement that Switzerland will host the 2027 Geneva AI Summit to make a substantial contribution to global AI governance, explicitly stating it is not a publicity show, is documented in the keynote remarks [S4].
MAJOR DISCUSSION POINT
Switzerland’s role and purpose for the Geneva summit
Argument 4
The summit will be shaped collaboratively, incorporating ideas from diverse stakeholders (Thomas Schneider)
EXPLANATION
Schneider invites participants to contribute ideas and stresses that the agenda of the Geneva summit will be co‑created with global stakeholders. He underscores a collaborative, inclusive process rather than a top‑down design.
EVIDENCE
He expresses eagerness to hear ideas from the audience, notes that Switzerland has its own ideas but will discuss and shape the summit together with participants, and promises a Swiss flavor while being constructive [15-18].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Schneider notes that many governmental and other stakeholders are already sharing ideas for the summit and that the agenda will be co-created with worldwide participants, highlighting a collaborative approach [S4].
MAJOR DISCUSSION POINT
Collaborative agenda setting for the summit
Argument 5
Build on existing platforms (UN IGF, AI for Good, UNESCO, OECD, etc.) rather than reinventing the wheel (Thomas Schneider)
EXPLANATION
Schneider proposes leveraging established multistakeholder forums and initiatives to avoid duplication and to build on proven mechanisms. He lists several global platforms that can be integrated into the summit’s work.
EVIDENCE
He enumerates existing dialogue platforms such as the UN Internet Governance Forum, AI for Good Summit, UNESCO, OECD, GPI, and previous AI summit outcomes, emphasizing that the new summit will build on these rather than reinvent processes [20-21].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
He stresses that the new summit will build on established forums such as the UN Internet Governance Forum, AI for Good, UNESCO and OECD, avoiding duplication of existing mechanisms [S4][S9].
MAJOR DISCUSSION POINT
Utilising existing governance mechanisms
Argument 6
Facilitate participation of less‑resourced communities through partnerships like the Diplo Foundation (Thomas Schneider)
EXPLANATION
Schneider highlights the need to ensure that under‑resourced groups can navigate the complex AI governance ecosystem. He mentions collaboration with the Diplo Foundation and the Geneva Internet Platform to provide orientation and a voice for these communities.
EVIDENCE
He states that, with the help of longstanding partners from the Diplo Foundation and the Geneva Internet Platform, the summit will facilitate orientation for less-resourced communities so they know where to raise their voice and be heard [23].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Schneider highlights collaboration with the Diplo Foundation and the Geneva Internet Platform to help under-resourced communities find their voice within the AI governance ecosystem [S4].
MAJOR DISCUSSION POINT
Inclusivity for under‑resourced stakeholders
Argument 7
Governance of AI should mirror the layered technical, legal, and societal norms developed for engines over 200 years (Thomas Schneider)
EXPLANATION
Schneider draws an analogy between the historical governance of engine technologies and the emerging governance needs for AI. He suggests that AI will require a similarly complex, multi‑layered framework of technical, legal, and societal standards.
EVIDENCE
He references the 200-year history of governing combustion engines, noting the development of thousands of technical, legal, and societal norms, infrastructure regulations, liability requirements, and protective instruments, and argues AI needs comparable layered governance [27-36].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
He draws an analogy to the centuries-long development of technical, legal and societal norms governing combustion engines, arguing AI will need a similarly layered framework [S4].
MAJOR DISCUSSION POINT
Historical analogy for AI governance
Argument 8
Different sectors (e.g., aviation vs. automotive) illustrate the need for context‑specific yet harmonised regulation (Thomas Schneider)
EXPLANATION
Schneider uses the aviation and automotive sectors as examples to show that some industries achieve global harmonisation while others remain fragmented, indicating that AI regulation must balance global standards with sector‑specific flexibility.
EVIDENCE
He points out that the airline industry is highly harmonised globally, whereas car regulations vary by country, illustrating the need for context-specific yet interoperable governance approaches [37-39].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The need for sector-specific but interoperable regulatory approaches is reinforced by discussions on varied sectoral regulation in AI governance panels [S11].
MAJOR DISCUSSION POINT
Sector‑specific versus global harmonisation
Argument 9
The Vilnius Convention provides a principle‑based, flexible framework for AI, human rights, democracy, and rule of law (Thomas Schneider)
EXPLANATION
Schneider presents the Vilnius Convention as a foundational, principle‑based instrument that can guide AI governance worldwide, aligning AI development with human rights, democratic values, and the rule of law.
EVIDENCE
He highlights his role in leading negotiations of the Vilnius Convention, describing it as a principle-based framework applicable beyond Europe to any country that values human rights, democracy, and the rule of law, enabling societies to innovate responsibly [46-48].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Schneider describes the Vilnius Convention as a principle-based framework applicable to any country valuing human rights, democracy and the rule of law, providing a flexible global reference for AI governance [S4].
MAJOR DISCUSSION POINT
Vilnius Convention as a global AI governance framework
Argument 10
The Convention aims for interoperable national implementations and will be complemented by additional binding and non‑binding norms (Thomas Schneider)
EXPLANATION
Schneider explains that the Vilnius Convention allows flexibility for states to embed its principles within existing legal systems, promoting interoperability, while acknowledging the need for further sector‑specific norms to ensure coherence.
EVIDENCE
He notes that the Convention leaves leeway for states to embed principles, enabling many countries to become parties with interoperable frameworks, and that additional binding and non-binding norms will complement it to maintain logical and spiritual coherence [49-52].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
He notes that the Convention allows states leeway to embed its principles while additional binding and non-binding norms will be needed to ensure coherence across jurisdictions [S4].
MAJOR DISCUSSION POINT
Interoperability and complementarity of norms
Agreements
Agreement Points
AI must benefit all humanity, respecting dignity, autonomy, and the planet
Speakers: Thomas Schneider
AI must benefit all humanity, respecting dignity, autonomy, and the planet (Thomas Schneider)
Schneider emphasizes that AI development and deployment should serve the entire global population, safeguarding human dignity, autonomy and protecting the planet as the basis for life [4-6].
POLICY CONTEXT (KNOWLEDGE BASE)
This principle aligns with the human-rights-centered AI frameworks emphasized in recent multilateral discussions, notably the focus on protecting human rights, democracy and the rule of law in AI governance [S34] and the call for equity and solidarity among nations [S33]. It also reflects the broader human-rights framing adopted at IGF sessions on AI and democracy [S38].
AI’s transformative potential should raise quality of life globally, not just for a few
Speakers: Thomas Schneider
AI’s transformative potential should raise quality of life globally, not just for a few (Thomas Schneider)
He likens AI to historic breakthroughs and insists its power must be used to improve living standards for everyone, not a limited elite [13-14].
POLICY CONTEXT (KNOWLEDGE BASE)
The statement echoes the equity-focused narrative in the Leaders’ Plenary urging AI to serve all nations and improve global quality of life [S33] and mirrors concerns raised in over-regulation debates about ensuring inclusive benefits from AI innovation [S41].
The summit will be shaped collaboratively with ideas from diverse stakeholders
Speakers: Thomas Schneider
The summit will be shaped collaboratively, incorporating ideas from diverse stakeholders (Thomas Schneider)
Schneider invites participants to contribute ideas and states that the agenda will be co-created with global stakeholders, while retaining a Swiss flavour [15-18].
POLICY CONTEXT (KNOWLEDGE BASE)
This collaborative approach is consistent with the multi-stakeholder model championed in recent forums, where specific challenges are addressed through joint input and resource allocation [S25] and where strengthening existing multistakeholder institutions is deemed essential [S26][S27][S28][S32].
Build on existing multistakeholder platforms rather than reinventing the wheel
Speakers: Thomas Schneider
Build on existing platforms (UN IGF, AI for Good, UNESCO, OECD, etc.) rather than reinventing the wheel (Thomas Schneider)
He lists established forums (UN IGF, AI for Good, UNESCO, OECD, etc.) as foundations for the new summit, avoiding duplication of processes [20-21].
POLICY CONTEXT (KNOWLEDGE BASE)
The recommendation mirrors calls to reinforce existing internet-governance bodies instead of creating new fragmented systems, as articulated in the outcomes of the Global Multistakeholder High Level Conference [S26] and the WSIS High-Level Dialogue consensus to enhance, not replace, current frameworks [S28].
Facilitate participation of less‑resourced communities through partnerships like the Diplo Foundation
Speakers: Thomas Schneider
Facilitate participation of less‑resourced communities through partnerships like the Diplo Foundation (Thomas Schneider)
With help from the Diplo Foundation and the Geneva Internet Platform, the summit will orient and give a voice to under-resourced groups [23].
POLICY CONTEXT (KNOWLEDGE BASE)
This aligns with the Diplo Foundation’s mandate to provide capacity-building for small and developing countries and diverse civil-society actors [S35], and with broader initiatives aimed at bridging policy-influence gaps for civil society [S36].
Governance of AI should mirror the layered technical, legal, and societal norms developed for engines over 200 years
Speakers: Thomas Schneider
Governance of AI should mirror the layered technical, legal, and societal norms developed for engines over 200 years (Thomas Schneider)
He draws an analogy to the centuries-long evolution of engine regulation, arguing AI needs a comparable multi-layered framework of technical, legal and societal standards [27-36].
POLICY CONTEXT (KNOWLEDGE BASE)
The analogy is supported by expert commentary that AI governance can learn from the multifaceted, layered regulation of engines rather than seeking a single overarching regime [S37], and by the observation that thousands of technical norms already exist for engines, offering a reference model [S39].
Different sectors (e.g., aviation vs. automotive) illustrate the need for context‑specific yet harmonised regulation
Speakers: Thomas Schneider
Different sectors (e.g., aviation vs. automotive) illustrate the need for context‑specific yet harmonised regulation (Thomas Schneider)
He notes that airline regulation is globally harmonised while car regulation varies, showing AI governance must balance global standards with sector-specific flexibility [37-39].
POLICY CONTEXT (KNOWLEDGE BASE)
This need for sector-specific but coherent regulation is reflected in discussions on AI governance across finance, agriculture, healthcare and other domains, emphasizing tailored approaches while maintaining overall consistency [S40], and in calls for context-specific rules that still achieve harmonisation [S41][S42].
The Vilnius Convention provides a principle‑based, flexible framework for AI, human rights, democracy and rule of law
Speakers: Thomas Schneider
The Vilnius Convention provides a principle‑based, flexible framework for AI, human rights, democracy and rule of law (Thomas Schneider)
Schneider highlights his role in negotiating the Vilnius Convention, describing it as a principle-based instrument applicable beyond Europe to any country valuing human rights, democracy and the rule of law [46-48].
The Convention aims for interoperable national implementations and will be complemented by additional binding and non‑binding norms
Speakers: Thomas Schneider
The Convention aims for interoperable national implementations and will be complemented by additional binding and non‑binding norms (Thomas Schneider)
He explains the Convention leaves leeway for states to embed its principles, promoting interoperability, while acknowledging the need for further sector-specific norms to ensure coherence [49-52].
POLICY CONTEXT (KNOWLEDGE BASE)
The statement corresponds with remarks that the Vilnius Convention will require both binding and non-binding instruments to be effective [S29] and with broader debates on complementing international principles with legally binding norms to fill regulatory gaps [S31].
Switzerland will host the next summit to meaningfully contribute to global AI governance, not as a showcase
Speakers: Thomas Schneider
Switzerland will host the next summit to meaningfully contribute to global AI governance, not as a showcase (Thomas Schneider)
He announces the 2027 Geneva AI Summit and stresses that Switzerland’s motivation is substantive contribution rather than a publicity show [8][12].
Similar Viewpoints
All listed arguments stem from Schneider’s consistent emphasis on inclusive, human‑centred AI governance, collaborative processes, leveraging existing mechanisms, and a principled yet flexible legal framework [4-6][13-14][8,12][15-18][20-21][23][27-36][37-39][46-48][49-52].
Speakers: Thomas Schneider
AI must benefit all humanity, respecting dignity, autonomy, and the planet (Thomas Schneider) AI’s transformative potential should raise quality of life globally, not just for a few (Thomas Schneider) Switzerland will host the next summit to meaningfully contribute to global AI governance, not as a showcase (Thomas Schneider) The summit will be shaped collaboratively, incorporating ideas from diverse stakeholders (Thomas Schneider) Build on existing platforms (UN IGF, AI for Good, UNESCO, OECD, etc.) rather than reinventing the wheel (Thomas Schneider) Facilitate participation of less‑resourced communities through partnerships like the Diplo Foundation (Thomas Schneider) Governance of AI should mirror the layered technical, legal, and societal norms developed for engines over 200 years (Thomas Schneider) Different sectors (e.g., aviation vs. automotive) illustrate the need for context‑specific yet harmonised regulation (Thomas Schneider) The Vilnius Convention provides a principle‑based, flexible framework for AI, human rights, democracy and rule of law (Thomas Schneider) The Convention aims for interoperable national implementations and will be complemented by additional binding and non‑binding norms (Thomas Schneider)
Unexpected Consensus
Using the historical governance of combustion engines as a direct analogy for AI governance
Speakers: Thomas Schneider
Governance of AI should mirror the layered technical, legal, and societal norms developed for engines over 200 years (Thomas Schneider)
While many AI discussions focus on novel digital frameworks, Schneider explicitly aligns AI governance with two centuries of engine regulation, a comparison not commonly highlighted in other AI policy debates [27-36].
POLICY CONTEXT (KNOWLEDGE BASE)
This direct analogy is reinforced by analyses that propose AI governance draw lessons from the long-standing regulation of engines rather than pursuing a singular institution [S37], and by references to the extensive technical norms that have historically governed engine safety and performance [S39].
Explicit call for both binding and non‑binding norms to complement the Vilnius Convention
Speakers: Thomas Schneider
The Convention aims for interoperable national implementations and will be complemented by additional binding and non‑binding norms (Thomas Schneider)
The dual emphasis on binding and non-binding instruments, while maintaining coherence, reflects a nuanced consensus that goes beyond a single-track regulatory approach [49-52].
POLICY CONTEXT (KNOWLEDGE BASE)
Multiple sessions have highlighted the necessity of a hybrid normative architecture, with binding norms filling legal voids and non-binding norms offering flexibility, as noted in discussions about the Convention’s implementation [S29] and in debates on legally binding versus non-binding norms [S31][S30].
Overall Assessment

The transcript shows strong internal consensus around an inclusive, human‑rights‑based AI vision, collaborative summit design, leveraging existing multistakeholder platforms, and a layered, principle‑based regulatory approach anchored by the Vilnius Convention.

High consensus among the speaker’s statements, indicating a clear, unified direction for the upcoming Geneva AI Summit and broader global AI governance efforts.

Differences
Different Viewpoints
Unexpected Differences
Overall Assessment

The transcript contains remarks only from Thomas Schneider; no other speakers are recorded, and therefore no contrasting positions or debates are observable. All statements reflect a single, coherent set of arguments about inclusive AI governance, collaborative summit design, leveraging existing platforms, and the Vilnius Convention. Consequently, there is no demonstrable disagreement among participants in this excerpt.

None – the absence of multiple speakers means no conflict of viewpoints, implying a unified stance on the discussed AI governance agenda.

Takeaways
Key takeaways
AI should be developed and used in an inclusive, human‑centred way that benefits all of humanity while respecting dignity, autonomy and the planet. Switzerland will host the next AI Impact Summit in Geneva in 2027, aiming to make a substantive contribution to global AI governance rather than a mere showcase. The summit’s agenda and outcomes will be co‑created with a broad range of stakeholders from the global north, south, east and west. Governance should build on existing multilateral platforms (UN IGF, AI for Good, UNESCO, OECD, etc.) and avoid duplicating efforts. Special effort will be made to enable participation of less‑resourced communities through partners such as the Diplo Foundation and the Geneva Internet Platform. Historical experience with the regulation of engine technologies provides a model: layered technical, legal and societal norms that are both harmonised where possible and context‑specific where needed. The Vilnius Convention on AI, Human Rights, Democracy and the Rule of Law offers a principle‑based, flexible framework that can be made interoperable across jurisdictions and will be complemented by additional sector‑specific norms.
Resolutions and action items
Continue a joint effort to identify gaps in current global and regional AI governance frameworks. Engage all interested parties to shape the thematic focus and concrete objectives of the 2027 Geneva AI Summit. Facilitate the inclusion of less‑resourced communities by leveraging the Diplo Foundation and the Geneva Internet Platform for outreach and capacity‑building. Advance the ratification and entry into force of the Vilnius Convention and promote its adoption by a wide set of countries. Develop and propose additional binding and non‑binding norms, including sector‑specific instruments, that are coherent with the Vilnius Convention. Use the period leading up to the summit to propose pragmatic, workable steps toward shared AI governance goals.
Unresolved issues
The precise thematic focus and concrete work‑program for the Geneva Summit have not been decided. How to ensure effective interoperability of national implementations of the Vilnius Convention while preserving legal diversity. Funding mechanisms and concrete support structures for the participation of less‑resourced communities remain undefined. Specific sector‑specific norms and the balance between binding and non‑binding instruments have not been detailed. Timeline and process for the final ratification of the Vilnius Convention are still open questions.
Suggested compromises
Leverage existing international forums and standards rather than creating new parallel structures. Adopt the flexible, principle‑based approach of the Vilnius Convention, allowing national leeway while aiming for interoperable outcomes. Combine harmonised regulation for globally uniform sectors (e.g., aviation) with context‑specific rules for sectors with greater local variation (e.g., automotive). Blend binding legal instruments with non‑binding technical standards to accommodate differing capacities of countries.
Thought Provoking Comments
AI may be at least as transformative as the invention of the printing press, radio, television, the internet, and the combustion engine, and must be used to raise—not lower—the quality of life for all people worldwide.
Frames AI as a historic, paradigm‑shifting technology, setting a high‑stakes narrative that elevates the moral imperative of governance beyond incremental regulation.
This comparison reframes the discussion from routine policy tweaks to a grand, civilizational challenge, prompting participants to consider long‑term, systemic safeguards and to view AI governance as a foundational societal contract rather than a technical add‑on.
Speaker: Thomas Schneider
We will not be able to achieve anything on our own; we must collaborate with all countries and stakeholders from the global north, south, east and west, first identifying areas of shared willingness before moving to pragmatic, workable steps.
Emphasizes inclusive, multilateral collaboration and the need to start with common ground, challenging any top‑down or siloed approaches.
Shifts the tone from a unilateral Swiss initiative to a call for shared ownership, encouraging participants—especially from less‑resourced regions—to voice expectations and propose joint projects, thereby broadening the agenda to include equity and partnership.
Speaker: Thomas Schneider
We will try not to reinvent the wheel or duplicate existing processes, but instead build on platforms such as the UN Internet Governance Forum, AI for Good Summit, ITU, UNESCO, OECD, GPI, and other regional initiatives.
Advocates leveraging established governance ecosystems, highlighting efficiency and continuity rather than creating parallel structures.
Redirects the conversation toward integration and coordination, prompting participants to map current initiatives, identify overlaps, and propose mechanisms for interoperability, which deepens the analysis of existing institutional landscapes.
Speaker: Thomas Schneider
The Vilnius Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law provides a principle‑based framework that, while rooted in European values, offers leeway for states to embed these principles within their own legal traditions, aiming for interoperable rather than identical regulations.
Introduces a concrete, near‑term legal instrument that balances universal human‑rights standards with national flexibility, challenging the notion that global AI norms must be uniform.
Creates a pivot toward concrete policy discussion, inviting scrutiny of the Convention’s provisions, potential ratification pathways, and how it could serve as a template for other regions, thereby moving the dialogue from abstract ideals to actionable legal frameworks.
Speaker: Thomas Schneider
No single institution or instrument can capture the full breadth of AI’s transformative power; we must learn to live with a certain complexity in governance, much like we have done with the regulation of engines over the past 200 years.
Uses a historical analogy to normalize complexity and multi‑layered regulation, challenging any expectation of a single, all‑encompassing AI authority.
Introduces a nuanced perspective that legitimizes a mosaic of technical, legal, and societal norms, steering the conversation toward discussions of layered governance models, sector‑specific standards, and the role of both binding and non‑binding instruments.
Speaker: Thomas Schneider
We will work with the Diplo Foundation and the Geneva Internet Platform to help less‑resourced communities navigate the complex governance ecosystem so that their voices are heard.
Highlights the importance of capacity‑building and equitable participation, bringing attention to power asymmetries that often marginalize the Global South.
Triggers a shift toward inclusion and capacity‑building topics, prompting participants to suggest concrete support mechanisms, outreach strategies, and funding models to ensure meaningful involvement of under‑represented stakeholders.
Speaker: Thomas Schneider
Overall Assessment

Thomas Schneider’s remarks collectively transformed a ceremonial opening into a strategic roadmap. By framing AI as a historic, transformative force, he elevated the stakes of the dialogue. His insistence on multilateral collaboration, building on existing platforms, and acknowledging governance complexity redirected the conversation from abstract aspirations to concrete, inclusive, and layered approaches. The introduction of the Vilnius Convention served as a tangible anchor, moving participants toward policy‑focused deliberations. Together, these pivotal comments shaped the discussion’s trajectory, fostering a shift from unilateral ambition to a shared, pragmatic, and globally representative governance agenda.

Follow-up Questions
What should be the focus and agenda of the Geneva AI Summit in 2027?
Determining the summit’s thematic priorities is essential to align stakeholders, allocate resources, and ensure the event addresses the most pressing AI governance challenges.
Speaker: Thomas Schneider
How can we effectively involve and support less‑resourced communities in the AI governance ecosystem?
Ensuring equitable participation prevents marginalisation, enriches the dialogue with diverse perspectives, and helps these communities have their voices heard in policy formation.
Speaker: Thomas Schneider
Which specific gaps exist in current global and regional AI governance frameworks that need to be addressed before the Geneva Summit?
Identifying gaps allows targeted work on missing standards, legal instruments, or technical norms, making the summit’s outcomes more concrete and actionable.
Speaker: Thomas Schneider
How can the Vilnius Convention be made interoperable with diverse national legal and regulatory traditions?
Interoperability is crucial for widespread adoption; understanding how the convention can fit within varied legal systems will facilitate ratification and implementation.
Speaker: Thomas Schneider
What sector‑specific binding and non‑binding norms are required to complement the Vilnius Convention?
Different sectors (health, finance, transportation, etc.) face unique AI risks; tailored norms ensure comprehensive coverage and practical relevance.
Speaker: Thomas Schneider
How can we avoid duplication of existing AI governance processes and build on current platforms such as IGF, AI for Good, UNESCO, OECD, etc.?
Leveraging existing initiatives saves resources, promotes coherence, and strengthens the global governance ecosystem rather than fragmenting it.
Speaker: Thomas Schneider
What lessons from the historical governance of combustion engines can be applied to AI governance?
Drawing parallels with past technological governance can provide proven governance models, risk‑mitigation strategies, and institutional designs applicable to AI.
Speaker: Thomas Schneider
What technical, legal, and societal frameworks and norms are needed to ensure AI is used for good across different contexts?
Comprehensive frameworks are required to balance innovation with protection of human dignity, autonomy, and planetary wellbeing in varied cultural and economic settings.
Speaker: Thomas Schneider
What pragmatic structures can be established to foster trustworthy international cooperation on AI?
Creating concrete mechanisms (e.g., joint working groups, verification tools, dispute‑resolution processes) will translate dialogue into reliable, collaborative action.
Speaker: Thomas Schneider

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