Towards Agentic AI Governance: A Preliminary Assessment

Mubarak Raji, Masooda Bashir
7/8/2026
cs.CYcs.AI

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Abstract

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.

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Cite this paper

@article{raji2026towards,
  title  = {Towards Agentic AI Governance: A Preliminary Assessment},
  author = {Mubarak Raji and Masooda Bashir},
  year   = {2026},
  eprint = {2607.07612},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2607.07612v1}
}

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