… The following papers were recommended by the Semantic Scholar API Orchard: An Open-Source Agentic Modeling Framework 2026 Auditing Agent Harness Safety 2026 SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety 2026 Security Risks in Tool-Enabled AI Agents: A Systematic Analysis … …
… The following papers were recommended by the Semantic Scholar API STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems 2026 PolicyBank: Evolving Policy Understanding for LLM Agents 2026 On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment… …
… The following papers were recommended by the Semantic Scholar API SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces 2026 VESTA: A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents 2026 Plant, Persist, Trigger: Sleeper Attack … …
… Compared with strong baselines, FATE reduces attack success rate by 33.5%, harmful compliance by 82.6%, and improves external trajectory-safety diagnosis by 6.5%. These results suggest that failed trajectories can provide structured repair supervision for safer self-evolving agents. …
… We further introduce ICU -Evo to study structured-memory agents that improves long-horizon reasoning but does not fully eliminate safety failures. Together, Real ICU provides a clinically grounded testbed for measuring and improving AI sequential decision-support in high-stakes care. …
Papers arxiv:2605.31170 Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion Published on May 29 Submitted by Federico Torrielli on Jun 1 AI Safety & Interpretability Lab Authors: , William Brach , Federico Torrielli , , , , , Lukas Galke Poech Abst… …
… Concern-Level Diagnostics for AI Peer Review 2026 Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content 2026 PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments 2026 An Empirical Study of Agent Skills for He… …
… Automated Auditing of LLM Agent Benchmarks 2026 AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair 2026 ValueBlindBench: Agreement-Gated Stress Testing of LLM-Judged Investment Rationales Before Returns Are Observable 2026 JudgeSense: A Bench… …
… AI-generated summary Autonomous agents have rapidly matured as task executors and seen widespread deployment via harnesses such as OpenClaw. Safety concerns have rightly drawn growing research attention, and beneath them lie the values silently steering agent behavior. …
… Rethinking Safety Evaluation for Phone-Use Agents Published on May 8 Submitted by Zhengyang Tang on May 12 Authors: Zhengyang Tang , , , , , , , , , , , , , , , , Zheng Ruan , , , , Abstract PhoneSafety benchmark reveals that avoiding harmful outcomes doesn't necessarily indicate safety, as models … …