Biorisk
Also written: Biosecurity, Gain-of-function research
The risk of biological harm from AI, including misuse to create threats.
Biorisk refers to the dangers associated with biological agents or toxins. In the context of AI, it specifically means the risk that AI systems could be used to create or spread dangerous biological substances, or that AI research itself could lead to accidental harm.
For example, an AI could potentially be used to design new viruses or to find ways to make existing ones more deadly. It also covers the risk of AI systems being used to develop harmful biological weapons.
Biorisk in AI encompasses the potential for AI systems to exacerbate biological threats, either through intentional misuse or accidental discovery. This includes AI's role in accelerating research that could lead to the creation of novel pathogens, enhancing the transmissibility or lethality of existing ones, or enabling the synthesis of dangerous toxins. The dual-use nature of AI research means that advancements in areas like protein folding or drug discovery could be repurposed for malicious ends, posing a significant biorisk.
Recent discussions highlight AI's growing capabilities in biological research and its potential for misuse. Labs like Anthropic and OpenAI are actively researching how AI could be used to create or spread biological threats, necessitating safety measures and risk assessments.
- How AI makes biological research more dangerousAnthropic · Axios AI ·
- LLMs and bioriskAnthropic · Anthropic Research ·
- Building AI for Life Sciences - Episode 16OpenAI · The OpenAI Podcast ·
- Estimating worst case frontier risks of open weight LLMsOpenAI · OpenAI News ·
- Anthropic Claude
- Anthropic researches AI's dual-use potential in biology and implements safety measures to prevent misuse, directly addressing biorisk.
- OpenAI ChatGPT
- OpenAI researches worst-case risks of open-weight LLMs, including potential misuse for malicious purposes that could involve biological threats.
- [object Object]
- [object Object]
The term 'biorisk' has been used in public health and biosecurity for years to describe risks associated with biological agents. Its application to AI is a more recent development as AI capabilities intersect with biological research.
Ask an AI model like ChatGPT or Claude to explain how AI could be used in drug discovery. Then, ask it to explain the potential risks of such applications, focusing on how they might be misused to create biological threats.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
- HeuristicDouble coding agent task completion with docs linksProviding coding agents with a documentation link significantly increases their task completion rate. · 2 min
Questions people ask
- Can AI create new diseases?
- AI could potentially be used to design novel pathogens or modify existing ones, increasing the risk of dangerous new diseases.
- What is the difference between biorisk and biosecurity?
- Biorisk refers to the actual danger of biological harm, while biosecurity is about protecting against that danger.
First seen on Subvolts Aug 5, 2025. Updated Oct 12, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.

