{"data":{"id":"e5a411dd-c947-4de0-8c52-18045b0060a5","title":"Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory","summary":"This academic paper is a systematic review published in ACM Computing Surveys that examines how trust works in artificial intelligence systems using established trust theory frameworks. The article analyzes trust in AI through theoretical lenses rather than addressing a specific technical vulnerability or problem.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"https://dl.acm.org/doi/abs/10.1145/3789256?af=R","publishedAt":"2026-03-16T21:11:52.641Z","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":["safety"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}