A systematic review of the literature on methodologies, frameworks, and techniques for auditing AI systems, focusing on legal and ethical considerations and compliance with regulations, reveals gaps in current auditing practices and highlights the importance of incorporating AI value chain stages and AI maturity levels into auditing frameworks.
Usman Shahbaz, A. Beheshti, B. Abedin et al.· ACM Computing Surveys· 0 citations
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