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Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

. (2018)cite arxiv:1811.10154Comment: Author's pre-publication version of a 2019 Nature Machine Intelligence article. Shorter Version was published in NIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning. Expands also on NSF Statistics at a Crossroads Webinar.

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Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model, , , and . (2015)cite arxiv:1511.01644Comment: Published at http://dx.doi.org/10.1214/15-AOAS848 in the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org).Machine Learning for theNew York City Power Grid., , , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 34 (2): 328-345 (2012)Multitask Learning for Citation Purpose Classification., , , , , , and . CoRR, (2021)Interpretable Almost Matching Exactly With Instrumental Variables., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1116-1126. AUAI Press, (2019)Learning Certifiably Optimal Rule Lists., , , , and . KDD, page 35-44. ACM, (2017)Optimal Sparse Regression Trees., , , and . AAAI, page 11270-11279. AAAI Press, (2023)Detecting Patterns of Crime with Series Finder., , , and . AAAI (Late-Breaking Developments), volume WS-13-17 of AAAI Technical Report, AAAI, (2013)Metaphor Detection Using Contextual Word Embeddings From Transformers., , , , and . Fig-Lang@ACL, page 250-255. Association for Computational Linguistics, (2020)A user interface to communicate interpretable AI decisions to radiologists., , , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)Bandits for BMO Functions., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9996-10006. PMLR, (2020)