arXiv:2607.07612v1 Announce Type: cross 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 governan
The rapid evolution of AI from generative to autonomous agentic systems in 2025 has created immediate ethical and governance challenges. This paper represents a timely, systematic review as these systems become more prevalent.
Agentic AI is poised to fundamentally alter economic and societal structures, necessitating proactive governance frameworks to manage its risks and harness its benefits. Understanding early assessments of these frameworks is critical for strategic planning.
The focus of AI governance expands beyond traditional generative systems to specifically address the unique challenges posed by autonomous, task-executing AI agents. This signifies a shift towards more targeted regulatory thinking.
- · AI governance researchers
- · Policymakers
- · Responsible AI developers
- · Regulatory bodies
- · Unregulated AI developers
- · Organisations unprepared for agentic AI oversight
Increased calls for specific regulatory frameworks for autonomous AI agents.
Development of new compliance and audit requirements for companies deploying agentic AI systems.
Emergence of 'AI ethics and governance as a service' companies providing specialized consulting and tools.
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Read at arXiv cs.AI