Auditing medical multi-agent AI reveals risks of false consensus 事件

Auditing medical multi-agent AI reveals risks of false consensus arXiv:2510.10185v2 Announce Type: replace Abstract: Large language models are increasingly being assembled into medical multi-agent systems that emulate multidisciplinary consultation through specialist roles, peer review and consensus formation. In clinical decision support, however, apparent consensus is not enough. Clinicians also need to know whether agents checked the evidence, addressed disagreement and kept uncertainty visi