Developments in AI designed viruses demonstrate why such research must be done in the open

Simon Clarke

doi:10.1136/bmj-2026-100572

August 17, 2026BMJ

Developments in AI designed viruses demonstrate why such research must be done in the open

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Key Points

Examine the safety, ethical, and governance implications of recent breakthroughs in AI-driven generative biology and viral design.
Expert commentary and perspective analyzing safety risks, dual-use implications, and open-science governance in generative viral engineering.
Generative biological models enable the de novo computational design of viral sequences and structures.
Closed-door development of engineered viruses increases biosecurity risks, underscoring the necessity for open research frameworks and robust ethical oversight.

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Implication

Expert commentary explores advances in AI-designed viruses and generative biology, highlighting urgent ethical, biosecurity, and transparency concerns.

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Simon Clarke (2026) studied this question.

synapsesocial.com/papers/6a85638803308d306e2d6b97 https://doi.org/10.1136/bmj-2026-100572

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Developments in AI designed viruses demonstrate why such research must be done in the open

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Cite This Study

Developments in AI designed viruses demonstrate why such research must be done in the open

Key Points

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Implication

Abstract

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