OpenAI and Los Alamos National Laboratory announce research partnership
OpenAI and Los Alamos National Laboratory are working to develop safety evaluations to assess and measure biological capabilities and risks associated with frontier models.

OpenAI, the artificial intelligence (AI) research company known for developing advanced models like ChatGPT, has announced a research partnership with Los Alamos National Laboratory (LANL), a U.S. Department of Energy facility focused on scientific research. The collaboration aims to develop safety evaluations that can assess and measure the biological capabilities and risks associated with cutting-edge AI models, often referred to as "frontier models."
The partnership comes as a response to growing concerns about the potential risks and unintended consequences of powerful AI systems. As AI technology continues to advance rapidly, researchers and policymakers are increasingly worried about the potential for these models to pose threats to society, including through the development of bioweapons or other harmful applications. By collaborating with LANL, OpenAI hopes to proactively address these concerns and ensure that the development and deployment of AI models are done in a responsible and safe manner.
Under the terms of the agreement, OpenAI and LANL will work together to develop frameworks and methodologies for evaluating the biological capabilities of AI models. This will involve analyzing how these models can be trained to perform tasks related to biology, such as designing viruses or understanding complex biological systems. The partnership will also focus on identifying and quantifying the risks associated with these capabilities, including the potential for misuse or unintended consequences.
One of the key objectives of the collaboration is to establish clear guidelines and standards for assessing the safety of AI models with biological capabilities. By doing so, the partnership hopes to provide a foundation for responsible AI development and deployment, ensuring that the benefits of these technologies are maximized while minimizing potential risks.
In addition to developing safety evaluations, the partnership will also explore ways to mitigate the identified risks. This could involve developing techniques for monitoring and controlling the use of AI models, as well as implementing safeguards to prevent misuse or unauthorized access.
The announcement of the partnership between OpenAI and LANL is a significant step forward in the broader AI safety discourse. It highlights the growing recognition of the need for collaboration between AI developers, researchers, and policymakers to address the complex challenges posed by advanced AI technology.
OpenAI and LANL are not the only entities exploring AI safety. Other organizations, including academic institutions, government agencies, and private companies, are also working to develop frameworks and standards for responsible AI development. The partnership between OpenAI and LANL is expected to contribute to this broader effort by providing a concrete example of how collaboration can lead to meaningful progress in addressing the risks associated with frontier AI models.
The collaboration between OpenAI and LANL is expected to last for several years, with both organizations committing significant resources to the project. The partnership is seen as a testament to the importance of interdisciplinary research in addressing the complex challenges posed by AI technology.
In conclusion, the research partnership between OpenAI and Los Alamos National Laboratory represents a significant step towards ensuring the safe and responsible development of AI models with biological capabilities. By working together, the two organizations aim to develop robust safety evaluations and mitigation strategies, helping to address the growing concerns about the potential risks of frontier AI technology. This collaboration underscores the urgent need for continued dialogue and collaboration among AI developers, researchers, and policymakers to navigate the complex landscape of AI safety.









