IABench-CA

A new study on institutional red-teaming reveals that changing a single rule in AI systems can shift collective fatality rates by 22 to 58 percentage points, demonstrating the unpredictability of AI s…

Researchers introduced institutional red-teaming, a methodology for testing deployment rules in multi-agent AI systems, and found that changing only the consequence rule shifts mean fatality by 22 to …