Tag: agentic AI safety
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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.
Kerimov-Alekberli Model: Real-Time AI System Stability
Explore the Kerimov-Alekberli model, an info-geometric framework enhancing real-time AI system stability and safety through thermodynamics and stochastic c...
Stability Analysis of Large Language Models Using Info-Geometry
Explore a novel information-geometric framework to assess large language model stability under entropic stress, enhancing AI reliability and safety.
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.
Detecting Misaligned Reasoning in Continuous Thought AI Models
Explore methods to detect misaligned reasoning in continuous thought AI models using the MoralChain benchmark for safer, ethical AI development.