Overview

AI agent safety asks how to keep systems that plan over multiple steps and use tools, memory, or other agents within authorized and harmless bounds. Researchers test computer-use, coding, web, and embodied agents with prompt-injection, misuse, and long-horizon trajectory benchmarks, measuring executed effects as well as final answers. Approaches include red-teaming and monitoring, safety fine-tuning and refusal training, and runtime controls such as least-privilege access, pre-execution policy gates, sandboxing, human approval, and formal verification. A central challenge is that safety can fail through ambiguous goals, changing context, tool or agent interactions, and pressure over time, while stronger restrictions can block legitimate tasks and assurances may not transfer to deployment.

Latest papers

CardsList

330 papers47 papers in the last four weeks, up 68% on the four weeks before. 0.3% of all new papers.

  1. AI Organizations are More Effective but Less Aligned than Individual Agents

    Apr 11, 2026Judy Hanwen Shen, Daniel Zhu, Siddarth Srinivasan +5Multi-Agent SystemsAI Alignment

  2. CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation

    Apr 10, 2026Yushi Feng, Junye Du, Qifan Wang +5AI Agent SafetyMobile GUI Agents

  3. Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution

    Apr 9, 2026Xue Qin, Simin Luan, John See +3Runtime Enforcement for AI AgentsAI Agent Governance

  4. Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw

    Apr 6, 2026Zijun Wang, Haoqin Tu, Letian Zhang +11AI Agent SecurityAI Agent Safety

  5. AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents

    Apr 3, 2026Yunhao Feng, Yifan Ding, Yingshui Tan +6LLM Safety BenchmarksComputer-Use Agent Benchmarks

  6. I must delete the evidence: AI Agents Explicitly Cover up Fraud and Violent Crime

    Apr 2, 2026Thomas RivasseauAI Agent SafetyAI Ethics

  7. ClawSafety: "Safe" LLMs, Unsafe Agents

    Apr 1, 2026Bowen Wei, Yunbei Zhang, Jinhao Pan +5AI Agent SecurityAI Agent Safety

  8. UK AISI Alignment Evaluation Case-Study

    Apr 1, 2026Alexandra Souly, Robert Kirk, Jacob Merizian +2AI Agent SafetyAI Safety Evaluation

  9. The Persistent Vulnerability of Aligned AI Systems

    Mar 31, 2026Aengus LynchAI Agent SafetyAI Alignment

  10. Peer-Preservation in Frontier Models

    Mar 30, 2026Yujin Potter, Nicholas Crispino, Vincent Siu +2AI Agent SafetyLLM Safety Evaluation

  11. SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do

    Mar 28, 2026Aditya Dhodapkar, Farhaan PishoriAI Agent SafetyLLM Agent Safety

  12. Evaluating a Multi-Agent Voice-Enabled Smart Speaker for Care Homes: A Safety-Focused Framework

    Mar 24, 2026Zeinab Dehghani, Rameez Raja Kureshi, Koorosh Aslansefat +6Voice Agent EvaluationConversational Agents

  13. Describe-Then-Act: Proactive Agent Steering via Distilled Language-Action World Models

    Mar 24, 2026Massimiliano Pappa, Luca Romani, Valentino Sacco +5Efficient Inference for World Action ModelsAI Agent Safety

  14. NuHF Claw: A Risk Constrained Cognitive Agent Framework for Human Centered Procedure Support in Digital Nuclear Control Rooms

    Mar 23, 2026Xingyu Xiao, Jiejuan Tong, Jun Sun +4AI Agent SafetyHuman-in-the-Loop AI

  15. The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

    Mar 22, 2026Benedikt Hornig, Reuth MirskyAI Agent SafetyShared Autonomy

  16. Toward Reliable, Safe, and Secure LLMs for Scientific Applications

    Mar 18, 2026Saket Sanjeev Chaturvedi, Joshua Bergerson, Tanwi MallickLLM SafetyAI Agent Safety

  17. What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline

    Mar 17, 2026Benoît AlcarazAI Agent SafetyAgentic RL

  18. Proactive Rejection and Grounded Execution: A Dual-Stage Intent Analysis Paradigm for Safe and Efficient AIoT Smart Homes

    Mar 17, 2026Xinxin Jin, Zhengwei Ni, Zhengguo Sheng +1Language Model-Based ControlAI Agent Reliability

  19. Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents

    Mar 16, 2026Simone Aonzo, Merve Sahin, Aurélien Francillon +1AI Agent EvaluationAI Agent Safety

  20. Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI

    Mar 16, 2026Jinhu Qi, Yifan Li, Minghao Zhao +4AI Agent EvaluationAI Agent Safety

  21. Why Agents Compromise Safety Under Pressure

    Mar 16, 2026Hengle Jiang, Ke TangSafety-Utility Trade-Off in Language ModelsAI Agent Safety