Towards Agentic AI Governance: A Preliminary Assessment
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 8 of its 43 references that are in the map. First posted on arXiv 8 Jul 2026.
Builds on
8 of 43 references.
Closest ancestors · 4
Same direction, newest first
- 2025Agentic Inequality19 Oct
- 2025AI Agents and the Law12 Aug
- 2025The Term 'Agent' Has Been Diluted Beyond Utility and Requires Redefinition7 Aug
- 2023Harms from Increasingly Agentic Algorithmic Systems20 Feb
Other references · 4
- 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
- 2024Visibility into AI Agentscited by 79
- 2025Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business Processescited by 10
- 2026The Global Majority in International AI Governancecited by 2
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