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#governance-framework News & Analysis

4 articles tagged with #governance-framework. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
AIBullisharXiv – CS AI · May 297/10
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KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition

KYA (Know Your Agents) is an open-source trust and governance framework for autonomous systems that enables verifiable authorization, policy compliance, and post-hoc auditability across multi-agent environments. The system demonstrates strong security performance, detecting 89% of adversarial attacks while maintaining sub-millisecond latency and supporting 15+ agent frameworks.

AIBullisharXiv – CS AI · Apr 147/10
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Governed Reasoning for Institutional AI

Researchers propose Cognitive Core, a governed AI architecture designed for high-stakes institutional decisions that achieves 91% accuracy on prior authorization appeals while eliminating silent errors—a critical failure mode where AI systems make incorrect determinations without human review. The framework introduces 'governability' as a primary evaluation metric alongside accuracy, demonstrating that institutional AI requires fundamentally different design principles than general-purpose agents.

AIBullisharXiv – CS AI · Mar 167/10
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Human-AI Governance (HAIG): A Trust-Utility Approach

Researchers introduce the Human-AI Governance (HAIG) framework that treats AI systems as collaborative partners rather than mere tools, proposing a trust-utility approach to governance across three dimensions: Decision Authority, Process Autonomy, and Accountability Configuration. The framework aims to enable adaptive regulatory design for evolving AI capabilities, particularly as foundation models and multi-agent systems demonstrate increasing autonomy.