The importance of transparency and reproducibility in artificial intelligence research

Massive Analysis Quality Control (MAQC) Society Board of Directors

Research output: Contribution to journalArticlepeer-review

Abstract

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines its scientific value. We identify obstacles hindering transparent and reproducible AI research as faced by McKinney et al and provide solutions with implications for the broader field.

Original languageEnglish (US)
JournalUnknown Journal
StatePublished - Feb 28 2020

ASJC Scopus subject areas

  • General

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