AI Series · Cohort 2
AI Governance, Risk & Compliance
For the leaders who answer for AI decisions: how to make AI safe, auditable and trusted in regulated, high-consequence industries.
Next dates to be announced soon
- Possible location
Cities marked with a question mark are under consideration.
Who should attend
- Chief risk, compliance and audit officers
- Chief information, technology and data officers
- Regulators and supervisory authorities
- Engineering, data and operations leaders deploying AI
What participants leave with
- Build an AI governance framework with clear policies, roles and decision rights
- Inventory AI systems and rank them by risk
- Apply model risk management: validation, monitoring and drift detection
- Set data quality and lineage standards that AI can rely on
- Design human oversight and failsafes that stop an unsafe AI recommendation before it acts
- Align with international frameworks such as the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act
Modules
- 01AI governance frameworks and operating models
- 02Model risk management
- 03Data quality, lineage and security
- 04Generative AI and agent risks, including hallucination
- 05Human oversight, failsafes and incident response
- 06Regulation, standards and assurance
Format
Five days, hands-on. Participants leave with a draft AI governance framework and risk register for their own organisation.
Leading faculty
Every cohort is led by members of our international faculty: practitioners and academics in leadership, risk, finance, energy economics and technology.