Deontic Policies for Runtime Governance of Agentic AI Systems
Quick Answer
The paper introduces AgenticRei, a deontic policy framework for governing agentic AI systems, addressing security and compliance challenges beyond current engines like XACML and Rego.
Quick Take
It enables obligation management, conflict resolution, and reasoning over policies using OWL, enhancing governance in sectors like healthcare and cybersecurity.
Key Points
- AgenticRei addresses governance issues in autonomous AI systems beyond permit/prohibit models.
- It incorporates obligation lifecycle management and meta-policy conflict resolution.
- The framework is evaluated at runtime by a high-performance logic engine.
- AgenticRei is compatible with industry-standard frameworks like A2AS.
- Deontic policies capture complex governance constraints not expressible in current engines.
Paper Resources
Source Excerpt
Autonomous agentic AI systems driven by (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 constrained not just by authentication and access control, but by the full structure of enterprise governance. This includes specifying what agents are permitted and prohibited from doing, what they areobliged to do afte
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from arXiv cs.AI
See more →HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising
HOBA (Hierarchical On-policy Bidding Agents) is a novel hierarchical reinforcement learning framework that enhances online advertising bidding systems by improving adaptability and reducing hyperparameter tuning costs. It utilizes a for hyperparameter inference, a SARSA agent for expert model selection, and a dynamic expert pool for bid execution, achieving a +3.6% increase in target cost during large-scale deployment and outperforming state-of-the-art baselines on AuctionNet.