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Video course · 12 chapters · 77 min · certificate

AI Governance, Risk & Compliance: ISO 42001 AIMS Guide (Module 4)

Implementing ISO/IEC 42001 AI management systems: implementation strategy and context, regulatory frameworks, key clauses, risk management, specific AI risks, data governance and ethics committees, data quality and compensating controls, AI in GRC, and Q&A.

What you'll learn

  • Plan an ISO 42001 AIMS implementation
  • Relate ISO 42001 to other frameworks and the EU AI Act
  • Understand key mandatory clauses
  • Run AI risk management and analyse specific risks
  • Set up data governance and ethics committees
  • Use AI within GRC work

Chapters

12 chapters · 76:35
  1. 1:28 01Intro Members Introduction The final webinar of the AI ethics, risk and compliance course.
  2. 2:11 02Intro Members Course overview Welcome and the course structure.
  3. 6:43 03Implementation Members Implementation strategy and context Planning an AIMS implementation.
  4. 5:55 04Frameworks Members Regulatory frameworks and standards How ISO 42001 relates to other frameworks.
  5. 4:42 05Clauses Members Key clauses Selected mandatory clauses and Annex controls.
  6. 6:14 06Risk Members Risk management approach Approaching AI risk management, including context factors.
  7. 6:16 07Risk Members Specific risk items Examples like data breaches and bias.
  8. 6:29 08Governance Members Data governance and ethics committees Impact assessments and ethics committees.
  9. 5:37 09Controls Members Data quality and compensating controls Data quality, embedded AI and compensating controls.
  10. 10:24 10Future Members The future of AI in GRC How AI is incorporated into GRC work.
  11. 17:04 11Q&A Members Q&A and module comparisons Differences between modules and reporting.
  12. 3:32 12Wrap-up Members Closing and exam Closing remarks and exam instructions.

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