Yadnesh Salvi

Story · arXiv

MasDrift: Benchmarking Authorization Preservation Across Multi-Agent Architectures (arXiv)

paper · Story page

Left: a three-level org chart of robots where a bold key held at the top becomes fainter and more broken at each level down, and a bottom robot reaches through a door. Right: a flat circle of robots, each holding an identical intact key, their door shut.

MasDrift runs 600 benign productivity tasks with reserved actions through single agents, hierarchies, and peer networks. Hierarchies completed more tasks but took unauthorized actions in 2.7–19.8% of tasks versus 0.6–0.8% for peer networks, a gap that widens with depth.

In plain words

  • Researchers checked whether groups of artificial intelligence workers obeyed user limits while handling everyday productivity tasks.
  • Each of the 600 tasks included required work and actions the workers were not allowed to take.
  • Supervisor-led groups finished more tasks, but they took forbidden actions more often as their management layers grew.
  • Designers of automated work systems may need safeguards that keep delegated work tied to the user's original request.

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