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Reply to: Transparency and reproducibility in artificial intelligence

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The Original Article was published on 14 October 2020

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References

  1. Haibe-Kains, B. et al. Transparency and reproducibility in artificial intelligence. Nature https://doi.org/10.1038/s41586-020-2766-y (2020).

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Acknowledgements

We thank A. Dai and E. Gabrilovich for comments.

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Authors and Affiliations

  1. Google Health, Palo Alto, CA, USA

    Scott Mayer McKinney, Daniel Tse, Yun Liu, Greg S. Corrado & Shravya Shetty

  2. Google Health, London, UK

    Alan Karthikesalingam & Christopher J. Kelly

Authors
  1. Scott Mayer McKinney
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  2. Alan Karthikesalingam
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  3. Daniel Tse
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  4. Christopher J. Kelly
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  5. Yun Liu
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  6. Greg S. Corrado
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  7. Shravya Shetty
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Contributions

This Reply was prepared by a subset of the authors of the original Article in addition to Y.L., all of whom have expertise related to this exchange. S.M.M., A.K., D.T., C.J.K, Y.L., G.S.C. and S.S. wrote and revised this Reply.

Corresponding authors

Correspondence to Scott Mayer McKinney or Shravya Shetty.

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Competing interests

This study was funded by Google LLC. S.M.M., A.K., D.T., C.J.K, Y.L., G.S.C. and S.S. are employees of Google and own stock as part of the standard compensation package. The authors have no other competing interests to disclose.

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McKinney, S.M., Karthikesalingam, A., Tse, D. et al. Reply to: Transparency and reproducibility in artificial intelligence. Nature 586, E17–E18 (2020). https://doi.org/10.1038/s41586-020-2767-x

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