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February 5, 2026Science

Biological data governance in an age of AI

Doni Bloomfield James R. M. Black Oliver M. Crook Nadav Brandes Moritz S. Hanke T V Inglesby Anita Cicero Robert Pollack Tina Hernandez‐Boussard Michael J. Imperiale Russ B. Altman Jaspreet Pannu

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Key Points

The central aim is to explore how tailored access controls can mitigate risks associated with the misuse of viral data in the context of AI governance.
Analyzing current governance frameworks for biological data
Evaluating access control strategies
Assessing misuse risk scenarios for viral data
Implementing tailored access controls can significantly lower misuse risks.
Specific control mechanisms improve data security and responsible usage.
Enhancements in governance frameworks are critical for managing viral data risks.

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Implication

Demonstrates tailored access controls reduce misuse risks in viral data, indicating a need for systematic oversight.

Abstract

Tailored access controls on new viral data would reduce misuse risks

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Cite This Study

Bloomfield et al. (2026) studied this question.

synapsesocial.com/papers/698828fd0fc35cd7a8848ee0 https://doi.org/10.1126/science.aeb2689

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