Join the Global AI & Law Network

---

 AI governance is no longer a technical or compliance-only issue. As AI systems increasingly influence strategic decisions, operational processes, and risk exposure, boards and executive teams are now directly accountable for their impact on organisations and stakeholders.

This session explores how AI governance is being approached in practice at board and executive level. It looks at where accountability for AI systems truly sits, how responsibility is being exercised across management and legal functions, and why policies alone are no longer enough. Drawing on real-world experience, the discussion focuses on what effective AI governance looks like when it is embedded into decision-making, risk oversight, and organisational culture, rather than treated as a standalone compliance exercise.

AI decision-making is no longer a theoretical or future concern. As AI tools are increasingly used in courts, arbitration, and legal processes, questions of liability, evidence, and accountability are already being tested when outcomes are challenged.

This session examines what happens when AI-assisted decisions come under legal scrutiny. It focuses on how responsibility is assessed when human decision-makers rely on AI tools, what courts and regulators are beginning to expect in terms of explainability and defensibility, and why detecting AI use is less important than justifying outcomes. Drawing on real-world disputes, the discussion highlights how legal teams should prepare for AI-related challenges in 2026.