Artificial Intelligence
AI brings new categories of risk — bias, security exposure, opacity, and shifting regulation — that traditional risk programmes weren't built for. This course gives risk and AI leaders a structured way to handle them: identifying, analysing, evaluating, and treating AI risk, then monitoring and improving over time. It draws on recognised frameworks such as NIST and the EU AI Act so risk decisions stand up to governance and compliance scrutiny.
A fundamental understanding of AI concepts and general risk-management principles; familiarity with frameworks such as NIST or the EU AI Act is helpful but not required.
The exam spans five competency domains, from AI risk principles and governance through to evaluation, treatment, and performance improvement.
Credential tiers
DAI Consultancy delivers Lead AI Risk Manager as a corporate cohort — in-person, virtual, or hybrid — structured around your organisation's objectives.
