Risks from AI in basic biology research can be addressed with a dual mitigation strategy that comprises basic education in AI ethics and community governance measures that are tailored to the needs of individual research communities.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Rasmussen, N. in eLS, https://doi.org/10.1002/9780470015902.a0005613.pub2 (John Wiley & Sons, 2015).
Asilomar AI Principles. futureoflife.org, https://futureoflife.org/open-letter/ai-principles/ (accessed 29 May 2024).
Obermeyer, Z., Powers, B., Vogeli, C. & Mullainathan, S. Science 366, 447–453 (2019).
Garner, S. A. & Kim, J. Wash. Univ. Law Rev. 96, 1219 (2018).
Urbina, F., Lentzos, F., Invernizzi, C. & Ekins, S. Nat. Mach. Intell. 4, 189–191 (2022).
Prunkl, C. E. et al. Nat. Mach. Intell. 3, 104–110 (2021).
Acknowledgements
The author acknowledges support from the research program Ethics of Socially Disruptive Technologies, which is funded through the Gravitation program of the Dutch Ministry of Education, Culture, and Science and the Netherlands Organisation for Scientific Research under grant number 024.004.031.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Prunkl, C. AI meets biology: a call for community governance. Nat Methods 21, 1407–1408 (2024). https://doi.org/10.1038/s41592-024-02332-4
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41592-024-02332-4