{"data":{"id":"22468096-60b8-46b0-8f28-08d66629ddd1","title":"Auditing Artificial Intelligence Systems: A Survey of Current Frameworks, Principles and Approaches","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.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://dl.acm.org/doi/abs/10.1145/3844500?af=R","publishedAt":"2026-09-27T12:01:34.195Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}