人工智能研究中透明性与可重复性的重要性
应用统计
2020-10-28 v2
摘要
McKinney 等人在其研究中展示了人工智能在乳腺癌筛查方面的巨大潜力。然而,缺乏详细的方法与计算机代码削弱了其科学价值。我们指出了 McKinney 等人所面临的阻碍透明且可重复 AI 研究的障碍,并提供了对该更广泛领域具有启示意义的解决方案。
引用
@article{arxiv.2003.00898,
title = {The importance of transparency and reproducibility in artificial intelligence research},
author = {Benjamin Haibe-Kains and George Alexandru Adam and Ahmed Hosny and Farnoosh Khodakarami and MAQC Society Board and Levi Waldron and Bo Wang and Chris McIntosh and Anshul Kundaje and Casey S. Greene and Michael M. Hoffman and Jeffrey T. Leek and Wolfgang Huber and Alvis Brazma and Joelle Pineau and Robert Tibshirani and Trevor Hastie and John P. A. Ioannidis and John Quackenbush and Hugo J. W. L. Aerts},
journal= {arXiv preprint arXiv:2003.00898},
year = {2020}
}