Security Considerations at the Intersection of Engineering Biology and Artificial Intelligence
Publication Date: November 2023
This white paper describes three areas at the intersection of engineering biology and artificial intelligence that may yield significant security concerns: de novo biological design, closed-loop autonomous laboratories, and natural language Large Language Models. It describes each area, identifies potential security concerns, and offers ideas for the potential mitigation of those concerns, ultimately calling for an international forum to continually address this evolving issue.
Citation: Engineering Biology Research Consortium; Compiled and edited by Charlie D. Johnson, Wilson Sinclair, Rebecca Mackelprang (2023): Security Considerations at the Intersection of Engineering Biology and Artificial Intelligence. Engineering Biology Research Consortium. Report. https://doi.org/10.25498/E4J017
Keywords: Artificial intelligence; engineering biology; de novo biological design; autonomous closed-loop laboratories; Large Language Models; Security
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