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Technological Opacity of Machine Learning in Healthcare
[conference paper]
This document is a part of the following document:
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"
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... view more
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 to reveal and counter these opacities.... view less
Keywords
effects of technology; automation; ethics; health care delivery system; artificial intelligence
Classification
Technology Assessment
Free Keywords
Machine Learning; Ethical and Societal Implications; Technological Opacity; Weizenbaum-Institut; Weizenbaum Institute
Collection Title
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"
Conference
2. Weizenbaum Conference. Berlin, 2019
Document language
English
Publication Year
2019
City
Berlin
Page/Pages
9 p.
Status
Primary Publication; peer reviewed