Preparing for future AI risks in biology
OpenAI has published a post outlining its proactive approach to assessing and mitigating biosecurity risks from advanced AI systems capable of biological applications. The piece describes capability evaluations and safeguards designed to prevent misuse of AI in biology and medicine. This reflects OpenAI's ongoing effort to get ahead of dual-use risks before capabilities reach dangerous thresholds.
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OpenAI publishes action plan for AI-powered biodefense and biological resilience
OpenAI released a policy and strategy document outlining an action plan for using AI to strengthen biodefense and biological resilience. The piece positions AI as a tool for countering biological threats at national and global scale. This represents OpenAI's public stance on a high-stakes dual-use domain where AI capabilities intersect with biosecurity policy.
Strengthening cyber resilience as AI capabilities advance
OpenAI published a post outlining its approach to cybersecurity risk as its models grow more capable, covering risk assessment frameworks, misuse mitigation, and collaboration with the security community. The piece addresses both offensive risk (AI-enabled attacks) and defensive applications. It represents OpenAI's public positioning on responsible deployment in a high-stakes domain.
Preparing for malicious uses of AI
OpenAI co-authored a multi-institutional paper forecasting how malicious actors could misuse AI technology, produced in collaboration with FHI, CSER, CNAS, EFF, and others over nearly a year. The paper outlines potential threat vectors and proposes prevention and mitigation strategies. This represents an early coordinated effort among AI safety and policy organizations to systematically address AI misuse risks.
OpenAI and Los Alamos National Laboratory Announce Research Partnership on Biosafety Evaluations
OpenAI and Los Alamos National Laboratory (LANL) have announced a research partnership focused on developing safety evaluations for frontier AI models. The collaboration specifically targets assessing and measuring biological capabilities and risks. LANL brings national-lab-level biosecurity expertise to the effort, which aligns with OpenAI's broader preparedness framework for catastrophic risk domains.
Measuring AI's capability to accelerate biological research
OpenAI introduces a real-world evaluation framework designed to measure how AI systems can accelerate biological research in wet lab settings. The work uses GPT-5 to optimize a molecular cloning protocol as a concrete demonstration case. The framework explicitly addresses both the potential benefits and biosecurity risks of AI-assisted experimentation, positioning this as a dual-use capability assessment.
Frontier AI regulation: Managing emerging risks to public safety
OpenAI published a policy position on regulating frontier AI systems, focusing on managing emerging risks to public safety. The piece outlines OpenAI's perspective on how governments and regulatory bodies should approach oversight of the most capable AI models. This represents a formal public stance from a leading AI lab on the shape of future AI governance frameworks.
OpenAI Launches Preparedness Team and Challenge for Catastrophic Risk
OpenAI announced the formation of a dedicated Preparedness team focused on evaluating and mitigating catastrophic risks from highly capable AI systems. The initiative includes a challenge to solicit external input on frontier risk scenarios. This represents a formal organizational commitment to tracking and preparing for severe AI safety risks beyond existing red-teaming efforts.
OpenAI Updates Its Preparedness Framework
OpenAI has published an updated version of its Preparedness Framework, which governs how the company measures and mitigates severe risks from frontier AI capabilities. The framework sets thresholds and protocols for evaluating dangerous capability levels across domains such as CBRN, cybersecurity, and persuasion. This update reflects ongoing evolution in OpenAI's internal safety governance as frontier models grow more capable.