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Computing Ethics for the Ethics of Computing

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Computing and Information Technology Division Technical Session 7

Tagged Division

Computing and Information Technology

Page Count

7

DOI

10.18260/1-2--36832

Permanent URL

https://peer.asee.org/36832

Download Count

192

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Paper Authors

biography

Robin K. Hill University of Wyoming Orcid 16x16 orcid.org/0000-0001-5466-7271

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Dr. Hill is an adjunct professor in both the Wyoming Institute for Humanities Research and the Philosophy Department of the University of Wyoming, and a Lecturer in Computer Science. She currently writes a blog on the philosophy of computer science for the online Communications of the ACM. Her teaching experience includes logic, computer science, and information systems courses for the University of Wyoming, University of Maryland University College (European Division), State University of New York at Binghamton, Metropolitan State College, and others. She holds a Ph.D. in Computer Science, an M.S. in Management Information Systems, an M.A. in Mathematical Logic, and a B.A. in Philosophy.

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Abstract

In an undergraduate computing ethics course, computing analogues can assist in illustrating and grounding some of the content of professional ethics for computer science itself. To introduce students to the standard normative theories, the instructor gives function headings; to show the different ways that these normative theories can be play out in reality, she describes their inheritance mechanism; to motivate gathering of pertinent facts, she invokes the notion of metadata. Care must be taken to emphasize that morals cannot be mechanized, but that such analogies can serve among the many factors that help in the understanding and solution of professional ethical dilemmas.

Hill, R. K. (2021, July), Computing Ethics for the Ethics of Computing Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36832

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