Senior leadership or an AI governance body that owns: In AI | AIGP
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Senior leadership or an AI governance body that owns: In AI governance, which role is generally responsible

AIGP Understanding the Foundations of AI Governance Easy

Overall oversight and accountability for the AI program rest with senior leadership or a governance body.

The question

In AI governance, which role is generally responsible for the overall oversight and accountability of an organization's AI program?

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  1. Senior leadership or an AI governance body that owns overall oversight and accountability for the whole program ✓
    Correct: overall oversight and accountability sit with senior leadership or a designated governance body.
  2. Individual model developers who write and tune the code for each specific machine-learning system running in production
    Plausible but wrong: developers own technical work on specific models, not organization-wide accountability.
  3. External auditors who periodically review controls but do not own the organization's day-to-day AI decisions
    Plausible but wrong: auditors provide independent assurance and do not hold operational accountability.
  4. End users of AI tools who operate the systems but do not set organizational policy or governance direction
    Plausible but wrong: users operate tools but do not own program-level oversight.
The trap
Assuming the people who build or use models also own program-level accountability.

How to remember it

Overall oversight and accountability for the AI program rest with senior leadership or a governance body.

How many of these would you get right?

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