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Agenda at a Glance

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The Agenda

The full agenda will be as follows:
  • 08:00 – 09:00

    Registration & Morning Networking

  • 09:00 – 09:15

    Opening remarks: Welcome to the World AI Regulation Summit

  • 09:15 – 10:00

    Opening keynote and chair’s dialogue: Governing Agentic Intelligence: Why 2026 Is the Enforcement Test

    Lord Holmes frames AI as a regulatory object, regulatory tool and challenge to the institutions responsible for public accountability. A senior guest from a contrasting jurisdiction offers a counterpoint.

    • What kind of authority is sufficient for systems that can learn, generate, recommend, and act autonomously?
    • Where can jurisdictions align on governance without giving up democratic or constitutional differences?
    • What outcomes should an annual global policy forum deliver that a commercial conference cannot?

    Invited / proposed contributors: Lord Chris Holmes of Richmond MBE; Invited senior jurisdictional keynote speaker

  • 10:00- 10:30

    Morning coffee

  • 10:30 – 12:30

    Global regulatory panel: What the world’s AI jurisdictions are building now

    Senior policy figures and regulators brief the summit on where their jurisdictions are heading, what they are preparing to enforce and what industry should understand before compliance deadlines arrive.

    • What is already decided, what remains politically contested, and what will affect industry compliance?
    • Where do the UK, EU, US, Singapore, Japan, Middle East, Hong Kong, and China models diverge?
    • Which differences are legal, technical, economic, or geopolitical?

    Invited / proposed contributors: Baroness Stowell of Beeston; Lord Tim Clement-Jones; Dragoș Tudorache; Brando Benifei; Gabriele Mazzini; Josephine Teo or nominee; Hiroki Habuka; Yoichi Iida

  • 11:30 – 12:00

    Case study presentation: South Korea’s AI Basic Act: first lessons from a comprehensive AI law in force

    A focused presentation on what industry and policymakers can learn from South Korea’s AI Basic Act, including transparency obligations, domestic representative requirements and the challenge of implementing a comprehensive AI law while technical guidance and enforcement tools continue to mature.

  • 12:00 – 12:30

    Plenary discussion: Where do the frameworks actually conflict?

    Lord Holmes and the rapporteurs identify the genuine friction points across jurisdictional approaches.

    • Horizontal AI law versus sectoral regulation.
    • Hard law versus agile and soft-law governance.
    • Extraterritorial enforcement, auditability, liability, and standards recognition.
  • 12:30- 13:30

    Lunch

  • 13:30 - 14:30

    Parallel breakout A: Foundation models and general-purpose AI: regulating the infrastructure layer

    Breakout Room A. This session examines how policymakers should govern general-purpose and frontier models without freezing innovation or leaving deployment harms unaddressed.

    • What belongs at the model layer, deployment layer, and infrastructure layer?
    • How should systemic risk, compute concentration, and open-source models be handled?
    • What evidence should providers be required to disclose?

    Invited / proposed contributors: Gabriele Mazzini; Professor Sandra Wachter; Professor Nathalie Smuha; Professor Philipp Hacker

    Parallel breakout B: Agentic AI and autonomous systems: when the system acts, who is accountable?

    Breakout Room B. A cross-industry session on AI agents that browse, decide, transact, recommend, escalate and act across organisational workflows.

    • Who owns the decision when an AI agent acts across systems?
    • What evidence must exist at the point of execution?
    • How should accountability be allocated between developer, deployer, operator and user?

    Invited / proposed contributors: Professor Dame Wendy Hall; Professor Sandra Wachter; Professor Luciano Floridi

  • 14:30 - 15:00

    Parallel case study A: EU AI Act GPAI obligations: what model providers and deployers must prepare for

    Breakout Room A. A country and jurisdiction-based case study linked to foundation models and general-purpose AI, examining how EU obligations on GPAI, systemic risk, transparency and technical documentation translate into compliance work.

    Parallel case study B: Singapore AI Verify and agentic-system assurance: testing governance before deployment

    Breakout Room B. A practical case study linked to agentic AI, examining how testing, assurance and governance toolkits can support oversight of AI systems that act across workflows.

  • 15:00 – 15:30

    Afternoon coffee

  • 15:30 - 16:30

    Parallel breakout A: AI assurance, auditability and evidence: what compliance will require in practice

    Breakout Room A. This cross-industry session focuses on the proof organisations will need to demonstrate responsible AI use: documentation, testing, audit trails, monitoring, escalation and board oversight.

    • What will regulators expect to see when AI harms are investigated?
    • How should audit evidence differ by sector and risk level?
    • How can organisations prepare before guidance becomes enforcement?

    Invited / proposed contributors: AI assurance, regulator and legal contributors

    Parallel breakout B: Digital trust in the synthetic era: identity, provenance, deepfakes and public confidence

    Breakout Room B. Synthetic media is treated as part of a broader trust challenge affecting elections, finance, education, media, employment, children, identity and public services.

    • What will regulators expect to see when AI harms are investigated?
    • How should audit evidence differ by sector and risk level?
    • How can organisations prepare before guidance becomes enforcement?

    Invited / proposed contributors: Nick Pickles; Ada Chung Lai-ling

  • 16:30 - 17:00

    Parallel case study A: EU AI Act high-risk deadline crisis: implementation before the tools are ready

    Breakout Room A. A case study linked to assurance and evidence, examining what happens when obligations, guidance, technical standards and organisational compliance systems mature at different speeds.

    Parallel case study B: Deepfake laws in 2026: platform obligations, identity and public trust

    Breakout Room B. A case study linked to digital trust, comparing Singapore, US and other targeted deepfake rules, takedown obligations and platform responsibilities.

  • 17:00 - 17:10

    Reconvening in main conference hall: Breakout participants return for Day One synthesis

    Participants from Breakout Rooms A and B reconvene in the main conference hall for the Day One synthesis.

  • 17:10 - 17:25

    Synthesis: Day One rapporteur summary

    Rapporteurs summarise key policy tensions and unresolved questions. Lord Holmes closes Day One and introduces Day Two’s industry-readiness focus.

  • 19:30

    Chair’s dinner

    Invitation-only dinner for selected speakers, advisory contributors and senior delegates. Venue TBC.



  • 08:30 - 09:00

    Morning coffee

  • 09:00 – 10:00 

    Technology keynote session: The view from the lab: what AI developers need regulators to understand

    Senior AI developer or infrastructure leaders explain where regulation is technically coherent, where it is not and what meaningful oversight should look like.

    • What do developers believe regulators misunderstand about frontier capability?
    • What should responsible scaling, evaluation and disclosure require?
    • Where should industry self-regulation end?
    Invited / proposed contributors:
    • Invited: senior AI lab or infrastructure policy leader
  • 10:00-10:30

    Morning coffee

  • 10:30-11:30

    Policy-to-compliance panel: What industries need to prepare for now

    A cross-industry session translating emerging AI laws and policy directions into practical readiness questions for all sectors, not only financial services.

    • Which obligations are likely to affect all industries: risk assessment, documentation, human oversight, transparency, incident reporting, auditability and vendor governance?
    • How should boards and senior management prepare before enforcement becomes active?
    • What should organisations ask of AI vendors, cloud providers and model developers now?

    Invited / proposed contributors: Invited: EU AI Act, UK policy, Singapore AI Verify and US policy contributors

  • 11:30-12:15

    Cross-industry compliance panel: How AI regulation will affect major cross-industry sectors

    Sector leaders and policy specialists examine how global AI rules will affect compliance, operations and accountability across industries.

    • Healthcare and life sciences: clinical AI, medical devices, patient safety, and consent.
    • Energy, transport, and critical infrastructure: resilience, safety, cybersecurity, and incident reporting.
    • Media, education, employment, and consumer markets: synthetic content, fairness, reliance, vulnerable users, and redress.
    • Financial services and insurance: model risk, consumer duty, fraud, credit, systemic risk, and third-party dependency.

    Invited / proposed contributors: Invited: senior cross-industry governance, legal and regulatory contributors

  • 12:15-13:30

    AI Governance Exercise with Panel: When the AI Agent Fails: A Cross-Sector Governance Simulation.

    Structure:

    • Scenario: An autonomous AI system causes regulatory, legal, consumer, operational and reputational risk.
    • Groups: Regulator, board, general counsel, chief risk officer, AI product leader, civil society/media.
    • Output: A one-page “AI Incident Governance Checklist” or “World AI Governance Actions 2026.”
    • Benefit: This directly addresses demand raised during our survey for desktop exercises and tangible takeaways.

    Invited / proposed contributors: Invited: senior cross-industry governance, legal and regulatory contributors

  • 13:30-14:30

    Lunch

  • 14:30-15:30

    Parallel breakout A: Geopolitical AI governance: standards blocs, strategic competition and regulatory fragmentation

    Breakout Room A. This session compares the political economies of AI regulation and what they mean for multinational organisations operating across jurisdictions.

    • Is fragmentation inevitable?
    • Can standards bodies and multilateral institutions bridge political differences?
    • What should an annual global policy meeting track year-on-year?

    Invited / proposed contributors: Amandeep Singh Gill; Tomas Lamanauskas; Hiroki Habuka; Yoichi Iida

    Parallel breakout B: Rights, redress and public accountability: when AI mediates decisions

    Breakout Room B. This session examines discrimination, automated decision-making, public services, employment, welfare, education and consumer harms.

    • What does meaningful redress look like when AI mediates a decision?
    • Can equality, privacy and consumer laws cover AI-specific harms?
    • What should be required for audit, explanation and appeal?

    Invited / proposed contributors: Baroness Stowell of Beeston; Professor Sandra Wachter; Professor Mireille Hildebrandt

  • 15:30-16:00

    Parallel case study A: US federal pre-emption and the state AI law wave: managing regulatory fragmentation

    Breakout Room A. A country-based case study linked to geopolitical fragmentation, examining federal pre-emption pressure, state AI laws and the practical implications for multinational organisations.

    Parallel case study B: New York RAISE Act and California AI transparency laws: rights, evidence and deployer obligations

    Breakout Room B. A case study linked to rights and public accountability, examining how state-level AI obligations affect developers, deployers, transparency, evidence and redress.

  • 16:00-16:30

    Lunch

  • 16:30-17:15

    Closing keynote and fireside outcome session: What would successful AI governance look like in 2030?

    The closing session asks what the summit has collectively failed to confront and adopts the working direction of the proceedings document.

    • What should be tracked annually?
    • What do policymakers and industries need to act on now?
    • Who bears responsibility if governance cannot keep pace?

    Invited / proposed contributors: Lord Chris Holmes of Richmond MBE; Invited: senior AI governance statesperson

  • 17:15-17:30

    Closing remarks: Next steps and proceedings timeline

    Final remarks, publication process and invitation to continue into the annual World AI Regulation Summit cycle.