System level risks can arise when AI agents interact over time, according to new research that examines how collective behavior forms inside multi agent systems. The study finds that feedback loops, shared signals, and coordination patterns can produce outcomes that affect entire technical or social systems, even when individual agents operate within defined parameters. These effects surface through interaction itself, which places risk in the structure of the system and how agents influence one another. … More →
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