Upcoming · CAQA AI AcademyLevel 3

NIST AI Risk Management Framework

Enable participants to understand the structure of the NIST AI Risk Management Framework and apply its four functions, trustworthy AI characteristics and Playbook to assess and improve the management of AI risk in a real organisational setting.

Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.

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Planned learning outcomes

  1. Explain the purpose, structure and status of the NIST AI RMF and its companion resources
  2. Apply the seven characteristics of trustworthy AI, including their trade-offs
  3. Assess an organisation's Govern function and identify governance gaps
  4. Use the Map function to establish context and categorise an AI system
  5. Plan measurement and testing under the Measure function
  6. Select risk treatments, monitoring and response under the Manage function
  7. Use the Playbook and profiles to complete a four-function assessment with an action plan