Monday 5 October
Governing Autonomous AI
Cross-Industry Exchange
How organisations stay accountable as AI systems begin making increasingly autonomous decisions. Covers governance operating models, decision traceability, human oversight and the structures required to scale AI safely.
Executive Questions
- How much decision-making should an autonomous system be allowed?
- Who is accountable when AI makes the wrong decision?
- Can governance scale without slowing innovation?
- What does “human oversight” actually mean in production?
- How should boards measure AI risk?
- Where should enterprises draw the line between automation and autonomy?
At the table
- AI governance operating models
- Decision accountability
- Human-in-the-loop vs human-on-the-loop
- Auditability and traceability
- Responsible AI
- Regulatory compliance
- Enterprise AI risk
- Board oversight

