Could machine learning fuel a reproducibility crisis in science?

2022/07/26 by Elizabeth Gibney · 1 voice · 6 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)

paper · doi:10.1038/d41586-022-02035-w

crossref issued 2022/07/26 · crossref published 2022/07/26 · crossref published-online 2022/07/26 · openalex publication_date 2022/07/26 · crossref created 2022/07/26 · crossref deposited 2022/08/09 · crossref published-print 2022/08/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23 · crossref indexed 2026/07/31

Citations

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Discussions

• A Nature article raises concerns from Princeton researchers about a potential reproducibility crisis in fields using machine learning, stating that inflated claims in studies may compromise research v [bsky, 0 points, 0 comments]