Executive summary: Developing specialized large language models (LLMs) for biosecurity tasks could help mitigate biological risks, but further research is needed to ensure LLMs differentially advance biosecurity over bioterrorism.
Key points:
Interviews with biosecurity experts revealed that ~50% of their tasks, such as information gathering and synthesis, have high potential for automation with LLMs.
Current LLMs have limitations for biosecurity work, including providing shallow or incorrect information and lacking domain-specific functionalities.
Suggested LLM-based tools for biosecurity include a research assistant, policy chatbot, DURC evaluation tool, and virtual lab safety officer.
Development of these tools can be facilitated by curating biosecurity-specific datasets and fine-tuning models for improved performance.
Future research should comprehensively outline biosecurity tasks, prototype and evaluate AI biosecurity assistants, forecast impacts of AI advancements, clarify safe biological capabilities for AI, and encourage innovation in AI for biosecurity.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, andcontact us if you have feedback.
Executive summary: Developing specialized large language models (LLMs) for biosecurity tasks could help mitigate biological risks, but further research is needed to ensure LLMs differentially advance biosecurity over bioterrorism.
Key points:
Interviews with biosecurity experts revealed that ~50% of their tasks, such as information gathering and synthesis, have high potential for automation with LLMs.
Current LLMs have limitations for biosecurity work, including providing shallow or incorrect information and lacking domain-specific functionalities.
Suggested LLM-based tools for biosecurity include a research assistant, policy chatbot, DURC evaluation tool, and virtual lab safety officer.
Development of these tools can be facilitated by curating biosecurity-specific datasets and fine-tuning models for improved performance.
Future research should comprehensively outline biosecurity tasks, prototype and evaluate AI biosecurity assistants, forecast impacts of AI advancements, clarify safe biological capabilities for AI, and encourage innovation in AI for biosecurity.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.