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Development of effective methods and tools for the auditing AI algorithms by Supreme Audit Institutions

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This article proposes an AI audit framework for public sector institutions, addressing transparency and accountability in AI algorithms.

The proposed AI audit framework ensures accountability in the use of AI algorithms within public sectors, emphasizing ethical compliance.
It identifies challenges of new generative AI technologies, highlighting the necessity for specialized auditing guidelines.
The methodology covers risk categorization and data governance, establishing a comprehensive approach to AI auditing.
Collaborative efforts and ongoing skill development are critical for maintaining responsible governance of AI technologies.

Brand et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This article proposes an AI audit framework for public sector institutions, addressing transparency and accountability in AI algorithms.

The proposed AI audit framework ensures accountability in the use of AI algorithms within public sectors, emphasizing ethical compliance.
It identifies challenges of new generative AI technologies, highlighting the necessity for specialized auditing guidelines.
The methodology covers risk categorization and data governance, establishing a comprehensive approach to AI auditing.
Collaborative efforts and ongoing skill development are critical for maintaining responsible governance of AI technologies.

Brand et al. (2025) studied this question.

View Full Paper

Ask AI

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