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Agentic profiles for effective AI governance
Atoosa Kasirzadeh1,2, Iason Gabriel3
1Carnegie Mellon University, Pittsburgh, USA. atoosakz@google.com.
Nature
|August 12, 2026
Summary
This paper introduces a framework to govern artificial intelligence (AI) agents by analyzing their autonomy, efficacy, goal complexity, and generality. Agentic profiles help guide AI governance for various systems.
Area of Science:
- Artificial Intelligence
- AI Governance
- Computer Science
Background:
- Effective governance for artificial intelligence (AI) agents is crucial for their responsible deployment.
- A deeper understanding of AI agent properties is needed to create robust governance mechanisms.
Purpose of the Study:
- To characterize AI agents based on four key dimensions: autonomy, efficacy, goal complexity, and generality.
- To develop 'agentic profiles' for different AI agents using this framework.
- To illuminate governance challenges associated with diverse AI agent classes.
Main Methods:
- Proposing gradations for each of the four AI agent dimensions.
- Constructing agentic profiles based on these dimensions.
- Analyzing technical and non-technical governance challenges.
Main Results:
- The four-dimensional framework (autonomy, efficacy, goal complexity, generality) provides a structured way to understand AI agents.
- Agentic profiles effectively map variations and continuities across AI agent types.
- The framework highlights unique governance questions for each dimension.
Conclusions:
- Agentic profiles offer guidance for developers, policymakers, and the public on effective AI governance.
- This characterization aids in addressing cross-cutting governance challenges for AI systems.
- Understanding AI agent properties is fundamental for designing and deploying them responsibly.
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