Introduction to AI Risk Management
Introduce the core concepts and practices of AI risk management so participants can identify AI risks, rate them against organisational criteria and appetite, assign ownership and controls, and create an initial AI risk register.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Explain what AI risk is and how it differs from conventional technology risk
- Identify AI risks using recognised categories and sources of harm
- Rate AI risks for likelihood and consequence against organisational criteria
- Interpret risk appetite and tolerance and apply them to AI decisions
- Assign risk ownership and select preventative, detective and corrective controls
- Maintain an AI risk register and escalate risks through reporting pathways
- Create an initial AI risk register for a real or fictional AI use