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  <titleInfo>
    <title>Ethics of data and analytics</title>
    <subTitle>concepts and cases</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Martin, Kirsten</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">UK</placeTerm>
    </place>
    <publisher>CRC</publisher>
    <dateIssued>2022</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">-</languageTerm>
  </language>
  <physicalDescription>
    <extent>xvii, 473p.</extent>
  </physicalDescription>
  <abstract>"This textbook provides faculty the major concepts and cases to include in a class on the ethics of data analytics. The book is distinct as it focuses on ethics of data analytics, AI, and data (rather than infrastructure and reliability) and by explicitly linking data analytics to foundational business ethics theory"--</abstract>
  <note type="statement of responsibility">Kirsten Martin.</note>
  <note>Includes bibliographical references and index.</note>
  <note>English.</note>
  <subject authority="lcsh">
    <topic>Data mining</topic>
    <topic>Moral and ethical aspects</topic>
    <topic>Textbooks</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
    <topic>Moral and ethical aspects</topic>
    <topic>Textbooks</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Moral and ethical aspects</topic>
    <topic>Textbooks</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business ethics</topic>
    <topic>Textbooks</topic>
  </subject>
  <classification authority="ddc">006.312 MAR-E</classification>
  <identifier type="isbn">9781032062938</identifier>
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