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Who Is a Good Data Scientist? A Reply to Curzer and Epstein

Graves, Mark and Ratti, Emanuele (2022) Who Is a Good Data Scientist? A Reply to Curzer and Epstein. Philosophy & Technology, 35.

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Abstract

A central distinction in Curzer and Epstein (2022) is the one between ‘protect the disadvantaged’ and ‘protect the data’. The distinction opens up discussions about the relationship between ethics and epistemology in the practice of data science. In this commentary, we argue that ethics and epistemology cannot be separated, and that this impacts the moral and social responsibility of medical data scientists


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Graves, Mark
Ratti, Emanuelemnl.ratti@gmail.com0000-0003-1409-8240
Additional Information: Available Open Access in the journal Philosophy & Technology
Keywords: science and values; data ethics; data science
Subjects: General Issues > Data
Specific Sciences > Artificial Intelligence > AI and Ethics
Specific Sciences > Medicine > Biomedical Ethics
Specific Sciences > Artificial Intelligence
General Issues > Science and Policy
General Issues > Values In Science
Depositing User: Dr Emanuele Ratti
Date Deposited: 05 Jun 2022 03:22
Last Modified: 05 Jun 2022 03:22
Item ID: 20710
Journal or Publication Title: Philosophy & Technology
Publisher: Springer
Official URL: https://link.springer.com/article/10.1007/s13347-0...
DOI or Unique Handle: https://doi.org/10.1007/s13347-022-00549-9
Subjects: General Issues > Data
Specific Sciences > Artificial Intelligence > AI and Ethics
Specific Sciences > Medicine > Biomedical Ethics
Specific Sciences > Artificial Intelligence
General Issues > Science and Policy
General Issues > Values In Science
Date: 2022
Volume: 35
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/20710

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