10 results for “AI governance”
Red Hat has launched Asago, an open-source community project designed to translate AI governance policies directly into production-ready deployment code. The EU AI Act's entry into force creates a concrete deadline for enterprises.
OpenAI has published a detailed overview of its responsible AI practices across Europe, aligning with the EU AI Act as it enters its next phase. The company emphasizes its commitment to safety, security, transparency, and provenance.
OpenAI named 14 independent grant recipients to test ideas from its April 2026 Industrial Policy framework. The company will provide $1 million in funding and up to $1 million in API credits over six-month projects.
OpenAI announced a $5 million program to equip democratic oversight bodies with AI tools and training for reviewing government national security decisions. The initiative aims to close the gap between machine-speed AI adoption and paper-era oversight capacity.
The Coalition for Health AI (CHAI), in partnership with OpenAI, Anthropic, and Accenture, has launched a new programme called the Public Health Use Case. The pilots are scheduled to begin in autumn 2026, with playbooks expected in 2027.
Google DeepMind and Isomorphic Labs have outlined a joint AI bioresilience plan designed to reduce biological risks while using frontier models. Biology is becoming a central test case for frontier AI governance.
Two dozen companies and organizations have signed an open letter urging United States policymakers to protect open-weight artificial intelligence models. The letter carves out space for one technique that has become contentious in AI.
Google DeepMind CEO Demis Hassabis is calling for a new kind of international AI watchdog, one that could evaluate the most powerful frontier models. The proposal comes at a time when AI systems are improving quickly in reasoning, coding.
Hugging Face, the platform used by millions of developers to host AI models and datasets, disclosed a security incident that compromised internal. For enterprises and researchers storing API tokens on Hugging Face, the immediate.
IBM and Confluent brought Granite Time Series models to Early Access on Confluent Cloud, letting teams run forecasting and anomaly detection on streaming data via Flink SQL — without a separate ML stack.