paperarXivTrust 82 · PrimaryPublished 3d agoLive · 2d ago
FLARE-AI: Flaw Reporting for AI
Flaw reporting for deployed AI systems is fundamental to identifying system failures and improving AI safety. Yet the AI reporting ecosystem is fragmented: researchers who identify flaws often do not know what or where to report, and groups who receive reports rarely share them with other relevant stakeholders. As a result, good-faith reporters duplicate effort by submitting many different forms, and recipients lack standardized, triage-ready information. We audit 12 reporting systems published by AI developers, cybersecurity groups, and AI flaw aggregators, identifying five recurring design c
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Covers
newsPentagon boasts of using AI to write reports mandated by CongressnewsReflections on Software Engineering in the Age of AInewsThe latest AI news we announced in May 2026newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routersnewsSupporting Europe’s work in ensuring a trustworthy AI ecosystem
Covers (incoming)
Related across the graph
newsSupporting Europe’s work in ensuring a trustworthy AI ecosystemnewsSentryCode: Real-time Auditor + Honeytokens for AI Coding Agents [P]newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routersnewsShell injection flaw found in 10 of 11 open-source AI agents - SC MedianewsCore dump epidemiology: fixing an 18-year-old bugnewsShow HN: AnalystAIPack – 118 runnable agent skills for malware analysis and REnewsPentagon boasts of using AI to write reports mandated by CongressnewsReflections on Software Engineering in the Age of AInewsThe latest AI news we announced in May 2026
