What is the role of internal audit in AI governance?

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Multiple Choice

What is the role of internal audit in AI governance?

Explanation:
Internal audit in AI governance provides independent assurance that the organization’s AI governance policies and practices are designed properly and are operating effectively. It looks at whether there are clear policies for AI development and deployment, how risks are identified and managed, and whether controls around data quality, model risk management, privacy, security, bias mitigation, transparency, and accountability are actually in place and functioning. By auditing the governance framework and monitoring evidence, internal audit helps ensure compliance with regulatory expectations, alignment with risk appetite, and continuous improvement of how AI is governed. This role fits governance oversight and assurance, not the creation of AI models, marketing strategies, or handling customer support tickets, which are development, business, and operations tasks respectively.

Internal audit in AI governance provides independent assurance that the organization’s AI governance policies and practices are designed properly and are operating effectively. It looks at whether there are clear policies for AI development and deployment, how risks are identified and managed, and whether controls around data quality, model risk management, privacy, security, bias mitigation, transparency, and accountability are actually in place and functioning. By auditing the governance framework and monitoring evidence, internal audit helps ensure compliance with regulatory expectations, alignment with risk appetite, and continuous improvement of how AI is governed. This role fits governance oversight and assurance, not the creation of AI models, marketing strategies, or handling customer support tickets, which are development, business, and operations tasks respectively.

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