AI Ethics Auditing: Unpacking the Processes, Motivations, and Challenges
Driven by regulation and reputational concerns, AI ethics audits are rapidly emerging. These audits, often modeled after financial audits, focus on assessing bias, privacy, and explainability in AI systems. However, they currently face challenges like stakeholder engagement, measurement of success, data infrastructure limitations, and regulatory ambiguity. Despite these hurdles, AI ethics auditors are crucial in translating ethical principles into actionable frameworks, spurring organizational change towards responsible AI development.
April 13, 2025
