Day one | November 2
Here is the latest edition of the agenda. As we approach the event, we will be adding speakers and sessions to enhance your experience. To stay informed, please register your interest
Key topics
- Governing responsibly without mature regulatory standards
- Managing inconsistent expectations across jurisdictions
- Preparing for retrospective regulatory scrutiny
- Building flexible governance frameworks that can evolve with regulation
 | George Smirnoff,Managing Director, Global Information Security,Bank of America |
 | Sanjay Rohira,Global Head of Data, Model and AI Governance,Vanguard |
 | Sabeena Liconte,Head Legal & Chief Compliance Officer,ICBC Standard Securities Inc |
Key topics
- Why traditional model governance is becoming obsolete
- Governing AI systems that learn, adapt and act independently
- Managing risks across interconnected AI workflows and vendors
- Moving beyond experimentation, to the practical implementation of decisions around agentic AI
 | Rafic Fahs,Chief Model Risk Officer,Fifth Third Bank |
Key topics
- Governing data lineage, quality, and provenance as a foundation to AI governance
- Extending data protection controls and architecture to govern data sharing
- Integrating AI risk management into your existing risk framework
- Managing the novel risks of generative and agentic AI
- Promoting innovation by building AI literacy and trust across stakeholders
 | Sebastian Nordgren,Former Global Head of Privacy & AI Governance, Director,MUFG Bank |
Key topics
- Highlighting the operational risks created by confident but inaccurate AI
- The challenges validating AI-generated decisions and recommendations
- Detecting and mitigating hallucination risks in high-impact business processes
- Designing governance controls to maintain decision integrity
 | Koosha Golmohammadi,Global Head of Applied AI/ML in Corporate Tech,JPMorgan Chase & Co |
Key topics
- Defining ownership across the AI lifecycle
- Building governance structures that eliminate accountability gaps
- Balancing centralised oversight with distributed business ownership
- Embedding accountability across risk, technology, compliance, and operations
 | Lacey Roman,Director – AI Compliance,Mizuho |
 | Rachit Kumar, Director, Head of Generative AI Solutions & Delivery,Citi Wealth |
Key topics
- Governing third-party AI and shared responsibility models
- Managing concentration risk across AI ecosystems
- Identifying hidden AI dependencies within vendor environments
- Improving resilience across interconnected AI supply chains
Key topics
- How restrictive AI policies could drive unauthorized AI adoption
- Managing risks from personal AI accounts, external copilots, and transcription tools
- Identifying governance gaps between approved and actual AI usage
- Creating secure pathways that reduce incentives for Shadow AI behaviour
 | Ben Dynkin,Head of AI Governance – Global Markets,Barclays |
Key topics
- Moving beyond theory to understand how models generate outputs, make associations, and respond under real-world conditions
- Exploring the structural reasons behind confident but incorrect outputs and the implications for business decision-making
- Practical approaches to validation, monitoring, and control frameworks that improve reliability
- Safety of agentic systems, monitoring and controlling agentic execution
- Designing controls that account for uncertainty, autonomy, and evolving model behaviour
 | Ari Shater,Managing Director – Quantitative Finance, Risk, AI and Front Office AI Compliance,Barclays Investment Bank |
Key topics
- Navigating ethical failures before they become reputational crises
- Responding to AI incidents, hallucinations, and unintended outcomes
- Balancing innovation, accountability, and responsible deployment
- Maintaining stakeholder trust under regulatory, media, and public scrutiny
 | Sen Selvaraj,SVP AI/Gen AI/Technology Risk Advisory,Truist |