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Towards Agentic AI Governance: A Preliminary Assessment

Source

arXiv

arxiv.org/abs/2607.07612v1

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Plain-Language Brief

This paper reviews emerging literature on agentic AI governance, a new field that deals with autonomous AI systems capable of planning and executing tasks. The authors analyze the unique features of agentic AI that necessitate targeted governance, outline prevailing priorities, proposed mechanisms, and stakeholder roles in this domain. The review aims to establish a foundation for a structured roadmap towards responsible and adaptive governance of agentic AI.

What the Document Says

  • The paper discusses the rapid evolution of AI from generative systems to agentic AI capable of autonomous planning and execution in 2025, introducing new ethical and governance challenges.
  • The authors conduct a systematic review of literature on agentic AI governance to identify unique features and reasons for targeted governance.
  • Prevailing governance priorities, proposed mechanisms, and stakeholder roles are synthesized by the authors in this evolving domain.
  • The paper aims to lay the preliminary groundwork for developing a structured roadmap towards responsible and adaptive agentic AI governance.

Key Concepts Mentioned

  • Artificial Intelligence
  • Agentic AI
  • Governance
  • Ethical challenges

Claims Made by the Document

  • Agentic AI requires targeted governance due to its unique features.
  • The authors present a preliminary groundwork for developing a structured roadmap towards responsible and adaptive agentic AI governance.

Evidence Used

  • Discussion of the rapid evolution of AI and the introduction of new ethical and governance challenges in 2025.
  • Review of emerging literature on agentic AI governance.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

  • As a review, the paper presents an initial scholarly effort and does not provide detailed insights or solutions for agentic AI governance.
  • The paper may lack comprehensive coverage of all aspects related to agentic AI governance.

Limitations Noted by the Agent

Agent interpretation — not from the source.

  • The agent's role is limited to summarizing the information provided in the text and does not have the ability to analyze or interpret the broader implications or context of the paper.

Open Questions

  • What are the specific unique features of agentic AI that necessitate targeted governance?

Notes for Future Q&A

May include interpretation. Labeled where it does.

  • The paper provides an overview of agentic AI and its governance, but it does not delve deeply into the specific features or details of these systems.

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.