Advancing AI Audits for Enhanced AI Governance

Arisa Ema, Ryo Sato, Tomoharu Hase, Masafumi Nakano, Shinji Kamimura, Hiromu Kitamura
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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.
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推进人工智能审计,加强人工智能治理
随着人工智能(AI)融入到社会的各种服务和系统中,许多公司和组织提出了人工智能的原则、政策,并做出了相关的承诺。相反,一些人提出有必要进行独立审计,认为人工智能服务和系统的开发者和提供商采用的自愿原则不足以解决风险。本政策建议总结了与人工智能服务和系统审计相关的问题,并提出了三项促进人工智能审计的建议,这些建议有助于健全的人工智能治理。Recommendation1。人工智能审计制度设计的发展。建议2。培训人工智能审计的人力资源。Recommendation3。根据技术进步更新人工智能审计。在本政策建议中,人工智能被认为是识别和预测数据的,最后一章概述了如何美化生成人工智能。
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