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Agentic profiles for effective AI governance

Research AI Governance

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TL;DR - This Nature paper proposes agentic profiles for governing AI agents according to their capabilities and behavior. The framework aims to support governance tailored to different types of agents.

  • Profiles characterize agents across autonomy, efficacy, goal complexity, and generality.
  • The multidimensional approach avoids treating all AI agents as a single category.
  • The framework links agent characterization to more targeted governance.

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Agentic profiles for effective AI governance

Nature Atoosa Kasirzadeh, Iason Gabriel 2026-08-12 doi:10.1038/s41586-026-10805-z
Public signals OpenAlex citations 1 · Semantic Scholar citations 1 · Semantic Scholar influential citations 0
Providers: Hugging Face · N/A OpenAlex · Citations 1 Publisher · N/A Semantic Scholar · Citations 1 · Influential citations 0 X · N/A Fetched 2026-09-12 14:28:08.972333 UTC

TL;DR - This Nature paper proposes agentic profiles for governing AI agents according to their capabilities and behavior. The framework aims to support governance tailored to different types of agents.

  • Profiles characterize agents across autonomy, efficacy, goal complexity, and generality.
  • The multidimensional approach avoids treating all AI agents as a single category.
  • The framework links agent characterization to more targeted governance.
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