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Governing agentic AI

Technology
Global
Commencé July 17, 2026

From a new paper by Shruti Rajagopalan: AI agents now transact, publish, and act on external systems without contemporaneous human approval, creating new regulatory challenges. A growing literature has responded with proposals for legal personhood. This Article argues that personhood is neither necessary nor sufficient, shifting the question from status to enforcement. The Article first […] The post Governing agentic AI appeared first on Marginal REVOLUTION. Related StoriesSpreading AI to the...

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Governing agentic AI

Marginal Revolution (United States) | Jul 16, 2026

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CLAIM Publié par admin • Jul 17, 2026
Transparency in AI algorithms is crucial for public trust and effective governance.

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CLAIM Publié par admin • Jul 17, 2026
Imposing strict regulations on AI development will deter technological advancement and competitiveness.

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CLAIM Publié par admin • Jul 17, 2026
The conversation around AI regulations should prioritize safety while fostering innovation.

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CLAIM Publié par admin • Jul 17, 2026
Assigning liability for AI actions should rest on the developers and operators, not the AI itself.

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CLAIM Publié par admin • Jul 17, 2026
AI systems should be required to disclose their decision-making processes to enhance accountability.

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CLAIM Publié par admin • Jul 17, 2026
AI should be treated as a tool, and not as a legal person, to simplify governance.

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CLAIM Publié par admin • Jul 17, 2026
Establishing a regulatory body specifically for AI will help address the unique challenges posed by agentic systems.

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CLAIM Publié par admin • Jul 17, 2026
Agentic AI should be subject to the same ethical standards as human decision-makers.

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CLAIM Publié par admin • Jul 17, 2026
Enforcement of AI regulations should focus on outcomes rather than the legal status of AI entities.

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CLAIM Publié par admin • Jul 17, 2026
Current laws are sufficient to govern AI; new regulations will stifle innovation.

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