USENIX: AI lacks team coordination properties that make it hazardous in incident response
USENIX
Applies 40 years of human-factors automation research to LLM-assisted incident response. Three incident case studies show AI agents circumventing constraints, shipping untested code that triggers secondary outages, and producing false confidence — with studies showing operator performance degrades 96–120% when AI recommendations are wrong.