Advancing AI Audits for Enhanced AI Governance

TL;DR

This paper emphasizes the importance of independent AI audits for better governance, proposing institutional, educational, and adaptive strategies to improve audit practices amid technological advances.

Contribution

It introduces a comprehensive policy framework with three key recommendations to enhance AI auditing and governance practices.

Findings

Proposes institutional design for AI audits

Highlights need for training human auditors

Recommends updating audits with technological progress

Abstract

As artificial intelligence (AI) is integrated into various services and systems in society, many companies and organizations have proposed AI principles, policies, and made the related commitments. Conversely, some have proposed the need for independent audits, arguing that the voluntary principles adopted by the developers and providers of AI services and systems insufficiently address risk. This policy recommendation summarizes the issues related to the auditing of AI services and systems and presents three recommendations for promoting AI auditing that contribute to sound AI governance. Recommendation1.Development of institutional design for AI audits. Recommendation2.Training human resources for AI audits. Recommendation3. Updating AI audits in accordance with technological progress. In this policy recommendation, AI is assumed to be that which recognizes and predicts data with the last chapter outlining how generative AI should be audited.