Technological Opacity of Machine Learning in Healthcare

Abstract: 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 framing of the origins of the new vulnerabilities created. Recently, scholars have been referring to ethics associated with technology that is in some way “opaque” to at least part of its associated stakeholders. This “opacity” can take several forms which will be discussed in this paper. There are various ways in which such an opacity can create vulnerabilities and, hence, relevant ethical, societal, epistemic and regulatory challenges. This paper provides a non-exhaustive list of examples in healthcare that call for educational resources and consideration in development processes that try

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource, 9 S.
Sprache
Englisch
Anmerkungen
Erstveröffentlichung
begutachtet (peer reviewed)
In: Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life". 2019. S. 9

Klassifikation
Technik

Ereignis
Veröffentlichung
(wo)
Berlin
(wann)
2019
Urheber
Herzog, Christian

DOI
10.34669/wi.cp/2.7
URN
urn:nbn:de:101:1-2019071015131400197048
Rechteinformation
Open Access; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:42 MEZ

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Beteiligte

  • Herzog, Christian

Entstanden

  • 2019

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