AI Agents
New research systematically documents technical and safety features across deployed agentic AI systems, creating a comprehensive index for understanding how autonomous AI operates in the wild.
AI Ethics
New research introduces Mirror, a multi-agent framework using AI to assist in ethics review processes, potentially transforming how AI systems evaluate content for safety and compliance.
AI Security
New research proposes a multi-agent AI reference architecture for securing enterprise AI deployments, addressing governance challenges in managing AI systems at scale.
AI Safety
New research examines how AI communities are splitting on human control approaches for autonomous agents, finding significant divergence in oversight philosophies that could shape the future of AI governance.
AI Safety
New research argues AI systems claiming to be human-centric must demonstrate measurable human understanding capabilities, proposing frameworks for defining and testing these requirements.
AI Agents
A deep dive into engineering production-ready AI agents for healthcare, covering system architecture, MLOps pipelines, safety guardrails, and governance frameworks for high-stakes deployments.
LLM Safety
New research introduces a framework for evaluating implicit regulatory compliance in LLM tool invocations using logic-guided synthesis, addressing critical AI safety concerns.
deepfake regulation
The UK government is preparing to enforce legislation targeting companies that provide tools for creating AI deepfakes, marking a significant regulatory shift in synthetic media governance.
AI Certification
New research proposes maturity-based certification for embodied AI systems, introducing quantifiable trustworthiness metrics that could reshape how we evaluate AI reliability and authenticity.
OpenAI
Elon Musk's high-stakes legal battle against OpenAI will be decided by jury in March, with implications for AI governance and the future of frontier AI development.
AI Governance
Researchers propose comprehensive framework for governing agentic AI systems, mapping capabilities to risks and establishing safety protocols as autonomous agents become more prevalent.
data provenance
New research proposes a Compliance Rating Scheme that evaluates generative AI datasets for licensing, consent, and ethical sourcing—critical infrastructure for accountable synthetic media.