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Computing Ethics Engaging the Ethics of Data Science in Practice: Seeking more common ground between data scientists and their critics.

The authors discuss their thoughts on computing ethics, particularly the cause of establishing common ground between data scientists and critics of data scientists who raise concerns about an alleged lack of ethical awareness on the part of data scientists. The article discusses ethical concerns abo...

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Published in:Communications of the ACM Vol. 60; no. 11; pp. 23 - 26
Main Authors: Barocas, Solon, boyd, danah
Format: Article
Published: Association for Computing Machinery Nov2017
Subjects:
Computer ethics
Data science
Computer scientists
Criticism
Cooperation
Online Access:View this record in EBSCOhost
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          Barocas, Solon
          boyd, danah
        affil:
          Assistant Professor of Information Science at Cornell University.
          Principal Researcher at Microsoft Research and the Founder/ President of Data & Society.
      su:
        Computer ethics
        Data science
        Computer scientists
        Criticism
        Cooperation
      sug:
        subj:
          Computer ethics
          Data science
          Computer scientists
          Criticism
          Cooperation
      ab: The authors discuss their thoughts on computing ethics, particularly the cause of establishing common ground between data scientists and critics of data scientists who raise concerns about an alleged lack of ethical awareness on the part of data scientists. The article discusses ethical concerns about artificial intelligence (AI), the broad nature of some critiques of data science, and efforts to create a cooperative collaboration between data scientists and their critics.
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      src: R
    language: English
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