Can large language models democratize access to dual-use biotechnology?
Emily H. Soice, Rafael Rocha, Kimberlee Cordova, Michael Specter, and, Kevin M. Esvelt

TL;DR
Large language models can democratize access to dual-use biotechnology, potentially enabling non-experts to develop pandemic pathogens, highlighting the need for safeguards like dataset curation and screening protocols.
Contribution
This study demonstrates how LLMs can be prompted to assist in creating pandemic pathogens, revealing risks and proposing mitigation strategies.
Findings
LLMs can suggest potential pandemic pathogens within an hour.
Non-experts can obtain detailed protocols for pathogen synthesis.
Screening and dataset curation are vital for safety.
Abstract
Large language models (LLMs) such as those embedded in 'chatbots' are accelerating and democratizing research by providing comprehensible information and expertise from many different fields. However, these models may also confer easy access to dual-use technologies capable of inflicting great harm. To evaluate this risk, the 'Safeguarding the Future' course at MIT tasked non-scientist students with investigating whether LLM chatbots could be prompted to assist non-experts in causing a pandemic. In one hour, the chatbots suggested four potential pandemic pathogens, explained how they can be generated from synthetic DNA using reverse genetics, supplied the names of DNA synthesis companies unlikely to screen orders, identified detailed protocols and how to troubleshoot them, and recommended that anyone lacking the skills to perform reverse genetics engage a core facility or contract…
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Taxonomy
TopicsBiomedical and Engineering Education
