Transparency and reproducibility in artificial intelligence

Massive Analysis Quality Control (MAQC) Society Board of Directors

doi:10.1038/s41586-020-2766-y

Transparency and reproducibility in artificial intelligence

Massive Analysis Quality Control (MAQC) Society Board of Directors

Bloomberg School of Public Health

Research output: Contribution to journal › Letter › peer-review

15 Scopus citations

Original language	English (US)
Pages (from-to)	E14-E16
Journal	Nature
Volume	586
Issue number	7829
DOIs	https://doi.org/10.1038/s41586-020-2766-y
State	Published - Oct 15 2020

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10.1038/s41586-020-2766-y

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@article{6d892d48ef614f679f45975ae6880f72,

title = "Transparency and reproducibility in artificial intelligence",

author = "{Massive Analysis Quality Control (MAQC) Society Board of Directors} and Benjamin Haibe-Kains and Adam, {George Alexandru} and Ahmed Hosny and Farnoosh Khodakarami and Thakkar Shraddha and Rebecca Kusko and Sansone, {Susanna Assunta} and Weida Tong and Wolfinger, {Russ D.} and Mason, {Christopher E.} and Wendell Jones and Joaquin Dopazo and Cesare Furlanello and Levi Waldron and Bo Wang and Chris McIntosh and Anna Goldenberg and Anshul Kundaje and Greene, {Casey S.} and Tamara Broderick and Hoffman, {Michael M.} and Leek, {Jeffrey T.} and Keegan Korthauer and Wolfgang Huber and Alvis Brazma and Joelle Pineau and Robert Tibshirani and Trevor Hastie and Ioannidis, {John P.A.} and John Quackenbush and Aerts, {Hugo J.W.L.}",

note = "Funding Information: Acknowledgements We thank S. McKinney and colleagues for their prompt and open communication regarding the materials and methods of their study. This work was supported in part by the National Cancer Institute (R01 CA237170). Funding Information: 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.",

year = "2020",

month = oct,

day = "15",

doi = "10.1038/s41586-020-2766-y",

language = "English (US)",

volume = "586",

pages = "E14--E16",

journal = "Nature",

issn = "0028-0836",

publisher = "Nature Publishing Group",

number = "7829",

}

TY - JOUR

T1 - Transparency and reproducibility in artificial intelligence

AU - Massive Analysis Quality Control (MAQC) Society Board of Directors

AU - Haibe-Kains, Benjamin

AU - Adam, George Alexandru

AU - Hosny, Ahmed

AU - Khodakarami, Farnoosh

AU - Shraddha, Thakkar

AU - Kusko, Rebecca

AU - Sansone, Susanna Assunta

AU - Tong, Weida

AU - Wolfinger, Russ D.

AU - Mason, Christopher E.

AU - Jones, Wendell

AU - Dopazo, Joaquin

AU - Furlanello, Cesare

AU - Waldron, Levi

AU - Wang, Bo

AU - McIntosh, Chris

AU - Goldenberg, Anna

AU - Kundaje, Anshul

AU - Greene, Casey S.

AU - Broderick, Tamara

AU - Hoffman, Michael M.

AU - Leek, Jeffrey T.

AU - Korthauer, Keegan

AU - Huber, Wolfgang

AU - Brazma, Alvis

AU - Pineau, Joelle

AU - Tibshirani, Robert

AU - Hastie, Trevor

AU - Ioannidis, John P.A.

AU - Quackenbush, John

AU - Aerts, Hugo J.W.L.

N1 - Funding Information: Acknowledgements We thank S. McKinney and colleagues for their prompt and open communication regarding the materials and methods of their study. This work was supported in part by the National Cancer Institute (R01 CA237170). Funding Information: 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.

PY - 2020/10/15

Y1 - 2020/10/15

UR - http://www.scopus.com/inward/record.url?scp=85092548887&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85092548887&partnerID=8YFLogxK

U2 - 10.1038/s41586-020-2766-y

DO - 10.1038/s41586-020-2766-y

M3 - Letter

C2 - 33057217

AN - SCOPUS:85092548887

SN - 0028-0836

VL - 586

SP - E14-E16

JO - Nature

JF - Nature

IS - 7829

ER -

Transparency and reproducibility in artificial intelligence

ASJC Scopus subject areas

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