AI Governance
AI TIPS 2.0: A Practical Framework for AI Governance
New research presents AI TIPS 2.0, a comprehensive framework helping organizations operationalize AI governance with tiered approaches for risk management and compliance.
AI Governance
DeepMind
DeepMind Expands UK AI Security Institute Partnership
Google DeepMind deepens collaboration with UK AI Security Institute on frontier AI safety evaluation, establishing frameworks that could shape how synthetic media and generative models are assessed globally.
AI Safety
CCA Framework: Lifecycle Supervision for Aligned AI Agents
New research proposes Cognitive Control Architecture, a supervision framework designed to maintain AI agent alignment throughout their operational lifecycle through structured oversight mechanisms.
AI alignment
New Framework Tackles LLM Alignment Through Collective Agency
Researchers propose a scalable self-improving framework for open-ended LLM alignment that leverages collective agency principles to address evolving AI safety challenges.
AI Governance
LLMs Transform AI Governance Policies Into Executable Code Rules
New research presents a framework for automatically translating natural language AI policies into machine-executable rules, enabling real-time governance enforcement for AI systems.
AI transparency
New Framework Delivers Full Traceability of AI Decisions
Researchers propose comprehensive workflow for tracking AI decision-making processes from data input to final output, addressing transparency and accountability challenges in modern AI systems through systematic documentation and verification methods.