{"data":{"id":"31c6e21e-bc18-4495-84ac-2e9d365e2d74","title":"Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving","summary":"Researchers present EthicAR, a hierarchical Safe Reinforcement Learning framework for autonomous driving that adds ethics-aware cost signals combining collision probability and harm severity. The method adds risk-sensitive prioritized experience replay and Temporal Cost Aggregation, which aligns learning with tail-risk measures such as Conditional Value-at-Risk. In closed-loop simulations on the Waymo Open Dataset across 75 scenarios and five random seeds, it reduced collision rates by 20 to 45% versus baselines while keeping task success and comfort within 5 to 10% of baselines.","solution":"N/A -- no mitigation discussed in source.","labels":["safety","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11585994","publishedAt":"2026-06-29T13:18:34.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-06-29T13:18:34.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.6,"researchCategory":"peer_reviewed","atlasIds":null}}