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Technological Opacity of Machine Learning in Healthcare

Recently, a host of propositions for guidelines for the ethical development and use of artificial intelligence (AI) has been published. This body of work contains timely contributions for sensitizing developers to the ethical and societal implications of their work. However, a sustained embedding of ethics in largely algorithm-based technology development, research and studies requires a precise f…

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Sortzailea

  • Herzog, Christian

Gaia

  • Technology (Applied sciences)
  • Technology Assessment
  • effects of technology
  • automation
  • ethics
  • health care delivery system
  • artificial intelligence
  • Adimen artifizial
  • Etika

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Feminismo Alemania Erresuma Batua Ingalaterra XX. mendea Public Library Pencho Slaveykov, Varna

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Technological Opacity of Machine Learning in Healthcare

Herzog, Christian

GESIS - Leibniz Institute for the Social Sciences. Library Cologne

Technologiefolgen-Abschätzung: Chance für Unternehmen

Dierkes, Meinolf

GESIS - Leibniz Institute for the Social Sciences. Library Cologne

Technology Impact Assessment: Opportunity for Business

Dierkes, Meinolf

GESIS - Leibniz Institute for the Social Sciences. Library Cologne

Patient Groups Assess the Patient Card: a Participation Project to Technology Assessment i…

Schmiede, Rudi; Stark, Claus

GESIS - Leibniz Institute for the Social Sciences. Library Cologne

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