Tag: AI governance
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Adaptive Runtime Governance for Autonomous AI Agents Safety
Explore adaptive runtime governance ensuring safety in autonomous AI agents through the Informational Viability Principle and RiskGate framework.
Right-to-Act: AI Pre-Execution Decision Safety Protocol
Discover the Right-to-Act protocol, a pre-execution AI decision framework ensuring safer, non-compensatory control of AI actions before execution.
Ensuring AI Goal Integrity with Separation-of-Powers Design
Discover the PEA architecture for AI safety, enforcing goal integrity through intent verification, goal drift detection, and formal system-level controls.
AI Identity Standards: Gaps & Research for AI Agents
Explore AI identity challenges, standards, and research gaps to ensure accountability and trust in autonomous AI agents.
Active Inference for Defining Agency in AI Systems
Explore how active inference phenotypes agency in AI using intentionality, rationality, and explainability for better governance frameworks.