Predicting and explaining with machine learning models: Social science as a touchstone-Reference-Cited by-同舟云学术

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Predicting and explaining with machine learning models: Social science as a touchstone

Published:2023-12 Issue: Volume:102 Page:60-69
ISSN:0039-3681
Container-title:Studies in History and Philosophy of Science
language:en
Short-container-title:Studies in History and Philosophy of Science

Author:

Buchholz Oliver^ORCID,Grote Thomas

Funder

Fund for Folk Culture

Baden-Württemberg Stiftung

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

History and Philosophy of Science,History

Reference70 articles.

1. Scaling up psychology via scientific regret minimization;Agrawal;Proceedings of the National Academy of Sciences of the United States of America,2020

2. Machine bias;Angwin,2016

3. Beyond prediction: Using big data for policy problems;Athey;Science,2017

4. Prediction versus accomodation;Barnes,2021

5. On predicting recidivism: Epistemic risk, tradeoffs, and values in machine learning;Biddle;Canadian Journal of Philosophy,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions;BMC Medicine;2024-09-02

2. Applications of Artificial Intelligence in Contemporary Sociology;LatIA;2024-07-23

3. What do you do or with whom? Understanding happiness with the tourism experience: an AI approach applied to Instagram;Humanities and Social Sciences Communications;2024-03-01

4. The Challenges of Machine Learning: A Critical Review;Electronics;2024-01-19

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