OpenAI is providing $7.5 million to The Alignment Project for independent AI alignment research
The total fund exceeds £27 million with contributions from multiple sources
Independent research is essential for exploring diverse approaches not pursued by frontier labs
The grant supports research across various fields including computational complexity theory, economic theory, cognitive science, and cryptography
The funding aims to strengthen the global ecosystem for AI safety and alignment research
📖 Full Retelling
OpenAI announced a $7.5 million grant to The Alignment Project on February 19, 2026, to fund independent research addressing AI safety and security risks as artificial intelligence systems become increasingly capable and autonomous. This contribution makes The Alignment Project one of the largest dedicated funding efforts for independent alignment research to date, strengthening the global ecosystem working to ensure advanced AI systems remain safe and beneficial. The grant is administered by Renaissance Philanthropy and co-funded alongside other public, philanthropic, and industry backers, with the total fund exceeding £27 million. OpenAI emphasized that ensuring AGI safety cannot be achieved by any single organization, highlighting the need for diverse approaches and independent conceptual research that may not align with any one organization's roadmap. The funding supports a broad portfolio of research projects worldwide, spanning topics from computational complexity theory and economic game theory to cognitive science and cryptography, with individual projects typically funded at £50,000 to £1 million.
🏷️ Themes
AI Safety, Independent Research, Global Collaboration, Technological Governance
# OpenAI
**OpenAI** is an American artificial intelligence (AI) research organization headquartered in San Francisco, California. The organization operates under a unique hybrid structure, comprising the non-profit **OpenAI, Inc.** and its controlled for-profit subsidiary, **OpenAI Global, LLC** (a...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses AI alignment (which aims to ensure AI systems behave as intended), monitoring AI systems for risks, and enhancing their rob...
In the field of artificial intelligence (AI), alignment aims to steer AI systems toward a person's or group's intended goals, preferences, or ethical principles. An AI system is considered aligned if it advances the intended objectives. A misaligned AI system pursues unintended objectives.
February 19, 2026 Global Affairs Advancing independent research on AI alignment We’re committing $7.5M to The Alignment Project to fund independent research developing mitigations to safety and security risks from misaligned AI. Loading… Share As AI systems become more capable and more autonomous, alignment research needs to both keep pace and scale diversity. At OpenAI, we invest heavily in frontier alignment and safety research as it is critical to our mission. We also believe that ensuring that AGI is safe and beneficial to everyone cannot be achieved by any single organization and want to support independent research and conceptual approaches that can be pursued outside of frontier labs. Today, we’re announcing a $7.5 million grant to The Alignment Project (opens in a new window) , a global fund for independent alignment research created by the UK AI Security Institute (UK AISI). Renaissance Philanthropy is supporting the grant’s administration. This contribution helps make The Alignment Project one of the largest dedicated funding efforts for independent alignment research to date and strengthens the broader, independent ecosystem. Frontier labs like OpenAI are in a unique position to pursue alignment research that depends on access to frontier models and significant compute—work that is often difficult for independent researchers to explore. We devote much of our internal alignment effort to developing scalable methods so that alignment progress keeps pace with capability progress. We believe iterative deployment —gradually increasing capabilities while strengthening safeguards—helps surface problems early and gives us concrete evidence about what works in practice, and that responsible development requires significant alignment and safety work that is tightly integrated with model building and deployment. In parallel, the field benefits from sustained investment in independent, exploratory research—which can expand the space of ideas and uncover new directi...
