Course Description
Equip your team to anticipate where AI governance is heading—covering autonomous decision-making, cross-border coordination, emerging ethics around advanced systems, and the co-evolution of standards and technology. You’ll turn fast-moving regulatory and standards signals into practical guardrails for products, policies, and risk management so your organisation can innovate with confidence.
Who Should Take This Course
Managers, compliance and risk leaders, product owners, data/ML practitioners, and consultants responsible for rolling out or advising on AI. Especially valuable for teams in regulated industries and the public sector who need a clear, vendor-neutral view of upcoming governance trends.
Prerequisites
No prior experience needed. Familiarity with basic AI concepts and organisational risk frameworks is helpful but not required.
What You Will Learn
- How to assess autonomous decision-making systems and design appropriate human-in-the-loop and override safeguards.
- Ways to map cross-border governance approaches and build a lightweight compliance matrix for multi-jurisdiction deployments.
- Methods to identify ethical risk scenarios related to AGI and advanced systems and define escalation/termination protocols.
- How to translate emerging standards (e.g., ISO/IEC, NIST, EU developments) into actionable internal controls, KPIs, and assurance steps.
- A 30–60-day action plan to advance your organisation’s AI governance roadmap with clear ownership and milestones.