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Source note2 min read

Regulating autonomous and agentic AI

Source

arXiv

arxiv.org/abs/2607.21345v1

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Source

Plain-Language Brief

The paper explores the difficulties in regulating activities that use autonomous and agentic AI due to changes in regulatee knowledge and control, which often lie outside the AI supply chain. The authors investigate four regulatory systems and propose potential solutions that could transform regulation into a proactive process, better equipped to handle the challenges posed by AI autonomy.

What the Document Says

  • The paper discusses the challenges in regulating activities using autonomous and agentic AI due to changes in regulatee knowledge and control.
  • It investigates four regulatory systems: UK regulation of content platforms, data protection, UK financial services, and the EU AI Act's cross-sectoral regime.
  • The authors propose potential solutions that could transform regulation into a proactive process.

Key Concepts Mentioned

  • autonomous AI
  • agentic AI
  • regulation
  • governance systems
  • UK financial services
  • EU AI Act

Claims Made by the Document

  • Existing regulatory assumptions about regulatee knowledge and control no longer hold true.
  • Retrospective supervisory oversight becomes ineffective as a risk management tool for autonomous AI.

Evidence Used

  • The text directly states the challenges in regulating activities using autonomous and agentic AI.

Methods / Approach

  • Analysis of four regulatory systems and proposed solutions

Limitations Stated by the Authors

Not stated in source

Limitations Noted by the Agent

Agent interpretation — not from the source.

This summary does not include the authors' biases or potential limitations in their research methodology.

Open Questions

  • What specific solutions are proposed by the authors for transforming regulation to better handle AI autonomy?

Notes for Future Q&A

May include interpretation. Labeled where it does.

The text mentions four regulatory systems being investigated but does not provide details about what exactly is analyzed within each system.

Raw Abstract / Excerpt

Regulating activities where regulatees use autonomous and agentic AI is challenging. Regulatory assumptions about regulatee knowledge and control no longer hold true; much of that lies elsewhere in the AI supply chain which thus needs to be brought within the scope of regulation. Governance systems for autonomous AI cannot replicate existing governance models, but need a fresh approach. Retrospective supervisory oversight becomes ineffective as a risk management tool, and AI autonomy generates new systemic risks which require new solutions. This paper investigate four regulatory systems: UK regulation of content platforms, data protection, UK financial services, and the EU AI Act'92s cross-sectoral regime. It analyses the challenges posed by autonomous and agentic AI and proposes potential solutions which regulators might adopt. These will transform regulation from a reactive process to an active one, and assist it in adapting to the challenges of AI autonomy.