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Generative AI poses ethical challenges for open science

Nature Human Behaviour volume 7, pages 1800–1801 (2023)Cite this article

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The image shows a happy researcher walking with a laptop computer in her hands on the right side. A data flow comes out of the laptop and flows behind her. A graph drawing is on the scientist’s background; most nodes have happy faces. Underneath the researcher, it says “Open Science.” Behind the scientist, two hands grab the data flow. Below the hands, it says “Generative Artificial Intelligence.”

Globally, OS has impetus and is linked to greater equity in science. In 2021, the 193 UNESCO member states approved a ‘Recommendation on Open Science’, which sparked several other initiatives. For example, the US White House declared 2023 as a ‘Year of Open Science’ and described OS as “research … processes available to all, while respecting diverse cultures, maintaining security and privacy … and equity”. One can argue that OS is enjoying unprecedented political support to become the new research paradigm.

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Acknowledgements

This publication has been made possible by NASA Grants 80NSSC23K0854 and 80NSSC23K0857, CZI grant DAF2021-239366 and grant https://doi.org/10.37921/522107izqogv from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation (funder https://doi.org/10.13039/100014989), and Programa de Dedicación Total, Universidad de la República, Uruguay. We thank P. Díaz Charquero, C. Gentemann, K. Hertweck, and the Open Life Science and The Turing Way communities for their input on this piece.

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Authors and Affiliations

  1. MetaDocencia, Ciudad Autónoma de Buenos Aires, Argentina

    Laura Acion & Mariela Rajngewerc

  2. Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina

    Laura Acion & Mariela Rajngewerc

  3. Departamento de Computación, Facultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Córdoba, Argentina

    Mariela Rajngewerc

  4. Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay

    Gregory Randall

  5. Instituto de Computación, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay

    Lorena Etcheverry

Authors
  1. Laura Acion
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  2. Mariela Rajngewerc
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  3. Gregory Randall
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  4. Lorena Etcheverry
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Correspondence to Laura Acion.

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The authors declare no competing interests.

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Acion, L., Rajngewerc, M., Randall, G. et al. Generative AI poses ethical challenges for open science. Nat Hum Behav 7, 1800–1801 (2023). https://doi.org/10.1038/s41562-023-01740-4

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