Auditing Artificial Intelligence Systems: A Survey of Current Frameworks, Principles and Approaches
inforesearchPeer-Reviewed
securityresearch
Source: ACM Digital Library (TOPS, DTRAP, CSUR)September 27, 2026
Summary
This is a survey paper that reviews different frameworks, principles, and methods for auditing AI systems, published in an academic journal. The paper examines current approaches to evaluating and assessing AI systems for safety, fairness, and reliability, but does not focus on a specific vulnerability or security problem.
Classification
Attack SophisticationModerate
Monthly digest — independent AI security research
Original source: https://dl.acm.org/doi/abs/10.1145/3844500?af=R
First tracked: September 27, 2026 at 08:01 AM
Classified by LLM (prompt v3) · confidence: 85%