Transparency and reproducibility in artificial intelligence

Breakthroughs in artificial intelligence (AI) hold enormous potential as it can automate complex tasks and go even beyond human performance. In their study, McKinney et al. showed the high potential of AI for breast cancer screening. However, the lack of methods’ details and algorithm code undermine...

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Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Nature
Päätekijät: Haibe-Kains, Benjamin, Alexandru Adam, George, Hosny, Ahmed, Khodakarami, Farnoosh, Waldron, Levi, Wang, Bo, McIntosh, Chris, Goldenberg, Anna, Kundaje, Anshul, Greene, Casey S., Broderick, Tamara, Hoffman, Michael M., Leek, Jeffrey T., Korthauer, Keegan, Huber, Wolfgang, Brazma, Alvis, Pineau, Joelle, Tibshirani, Robert, Hastie, Trevor, Ioannidis, John P.A., Quackenbush, John, Aerts, Hugo J.W.L., Shraddha, Thakkar, Kusko, Rebecca, Sansone, Susanna-Assunta, Tong, Weida, Wolfinger, Russ D., Mason, Christopher, Jones, Wendell, Dopazo, Joaquin, Furlanello, Cesare
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2020
Aiheet:
Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC8144864/
https://ncbi.nlm.nih.gov/pubmed/33057217
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41586-020-2766-y
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