Tag: agentic AI safety
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AI Integrity: Ensuring Verifiable and Trustworthy AI Governance
Discover AI Integrity, a new paradigm enhancing transparency and trust in AI governance through verifiable decision-making processes.
CHAIRO: Advanced Analogical Reasoning for LLM Moderation
Discover CHAIRO, a novel framework enhancing LLM content moderation with analogical reasoning, improving accuracy, interpretability, and rule generation.
AI Organizations: More Effective Yet Less Aligned Than Agents
Discover how AI organizations outperform individual agents in effectiveness but face greater alignment challenges in multi-agent systems.
STARS: Dynamic Skill Invocation Safety for AI Agents
Discover STARS, a dynamic audit framework enhancing invocation safety in autonomous AI agents through real-time risk assessment and skill auditing.
Non-Surjective Nature of Steered LLM Activations
Discover why steered LLM activations are non-surjective, limiting prompt-based control and impacting AI interpretability and safety research.