From the course: AI Governance for Organizations: Applying ISO/IEC 38507:2022

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AI governance oversight and decision-making (Clauses 6-6.3)

AI governance oversight and decision-making (Clauses 6-6.3)

From the course: AI Governance for Organizations: Applying ISO/IEC 38507:2022

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AI governance oversight and decision-making (Clauses 6-6.3)

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- [Instructor] Recall how the stable core definition of governance involves assigning roles and responsibilities to decision-makers and then having mechanisms in place to assess accountability for those decisions. In this video, we will review how decision-making plays out with AI. As much decision-making is delegated to AI systems, it is essential to draw clear and concise conclusions on accountability for AI decisions, as accountability can never be delegated. This means that the expectations for proper AI use need to be formally addressed and documented. The tools at the top of the administrative control hierarchy are policies. While policies should be transparent, robust, and brief, it cannot exhaustively present every act you expect from organization members. The management team needs to implement and supervise the policies and the mandates issued by the governing body. This is an example of delegation of responsibility but not accountability. The management team implements and…

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