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New AgenticRei Framework Enhances AI Governance with Deontic Policies

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced AgenticRei, a new framework designed to provide robust runtime governance for autonomous agentic AI systems. This system addresses limitations in current policy engines like XACML, Rego, and Cedar by incorporating features such as obligation lifecycle management, meta-policy conflict resolution, and dispensations for waiving obligations. AgenticRei utilizes a deontic policy language built on the Rei framework, expressed in OWL and evaluated by an external logic engine, to govern both tool invocations and agent-to-agent communications. AI

IMPACT This framework could improve the security and compliance of autonomous AI agents by providing more comprehensive governance capabilities.

RANK_REASON The cluster contains a research paper detailing a new framework for AI governance.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New AgenticRei Framework Enhances AI Governance with Deontic Policies

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The cluster contains a research paper detailing a new framework for AI governance.
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paper, policy
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Anupam Joshi, Tim Finin, Karuna Pande Joshi, Lalana Kagal ·

    Deontic Policies for Runtime Governance of Agentic AI Systems

    arXiv:2606.19464v1 Announce Type: new Abstract: Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer …

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Lalana Kagal ·

    Deontic Policies for Runtime Governance of Agentic AI Systems

    Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be …

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