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Source note2 min read

Towards Agentic AI Governance: A Preliminary Assessment

Source

arXiv

arxiv.org/abs/2607.07612v1

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Source

Plain-Language Brief

This paper is a systematic review of the emerging literature on agentic AI governance, focusing on the unique challenges posed by the increasing deployment of autonomous AI systems in 2025. The authors identify key features that distinguish agentic AI from traditional systems and outline prevailing governance priorities, proposed mechanisms, and stakeholder roles in this evolving domain.

What the Document Says

  • Artificial intelligence is rapidly evolving to include agentic AI capable of autonomously planning and executing tasks.
  • 2025 marked accelerated development and deployment of agentic AI, introducing new ethical and governance challenges.
  • The paper presents a systematic review of the emerging literature on agentic AI governance.
  • Key features distinguishing agentic AI from traditional systems are identified in the review.
  • Prevailing governance priorities, proposed mechanisms, and stakeholder roles are synthesized in this evolving domain.
  • The review aims to lay preliminary groundwork for developing a structured roadmap for responsible and adaptive agentic AI governance.

Key Concepts Mentioned

  • Artificial Intelligence
  • Agentic AI
  • Ethical Challenges
  • Governance

Claims Made by the Document

  • Agentic AI warrants targeted governance attention due to its unique features.
  • 2025 was a turning point for the accelerated development and deployment of agentic AI.

Evidence Used

  • The text states that 2025 marked an increase in the development and deployment of agentic AI, and the authors argue that this necessitates targeted governance attention.

Methods / Approach

  • Systematic review of emerging literature on agentic AI governance

Limitations Stated by the Authors

  • As an initial scholarly effort, the paper lays preliminary groundwork for developing a structured roadmap for responsible and adaptive agentic AI governance.

Limitations Noted by the Agent

Agent interpretation — not from the source.

  • The paper does not provide specific examples of agentic AI systems or the ethical and governance challenges they pose.

Open Questions

  • What are specific examples of agentic AI systems and the ethical and governance challenges they pose?

Notes for Future Q&A

May include interpretation. Labeled where it does.

  • The text does not provide detailed information about the specific features that distinguish agentic AI from traditional systems, nor does it elaborate on the prevailing governance priorities, proposed mechanisms, or stakeholder roles.

Raw Abstract / Excerpt

Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of autonomously planning and executing tasks. Widely characterized as the Year of Agentic AI, 2025 marked accelerated development and deployment, introducing new ethical and governance challenges. This paper presents a systematic review of the emerging literature on agentic AI governance. Our analysis identifies features that distinguish agentic AI from traditional systems and why it warrants targeted governance attention. We synthesize prevailing governance priorities, proposed mechanisms, and stakeholder roles shaping this evolving domain. As an initial scholarly effort, this review lays the preliminary groundwork for developing a structured roadmap to guide responsible and adaptive agentic AI governance.