MAGS: Multi-agent Auto-formalization Guarantees Safety for Agentic Outputs
Source
Albert Wu, Nicholas Roberts, Tzu-Heng Huang, Haoran Lin, Gil Friedman, Sungjun Cho, Gabriel Orlanski, Frederic Sala
Author
Albert Wu, Nicholas Roberts, Tzu-Heng Huang, Haoran Lin, Gil Friedman, Sungjun Cho, Gabriel Orlanski, Frederic Sala
Date
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Offers a path to formally verified safety guarantees on AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition →-written code without full manual proof engineering, addressing the review bottleneck as coding agents outpace human audit capacity.
articleNeuro-Formal Verification: Agentic Language-Agnostic Formal Program ReasoningShuvendu K. Lahiri
articleA Large-Scale Empirical Study of Quality Assurance Practices and Gaps in AI AgentsWuyang Dai, Moses Openja, Jiho Shin, Hung Viet Pham, Song Wang
articleOpenAgentFlow: Enabling System-Wide Safety Boundaries for Heterogeneous AI Agent FleetsDongsheng Chen, Xiangyu Zhao, Xin Yao, Xuetao Wei