Assessing ethical thinking about ai

Judy Goldsmith; Emanuelle Burton; David M. Dueber; Beth Goldstein; Shannon Sampson; Michael D. Toland

Assessing ethical thinking about ai

Judy Goldsmith, Emanuelle Burton, David M. Dueber, Beth Goldstein, Shannon Sampson, Michael D. Toland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

As is evidenced by the associated AI, Ethics and Society conference, we now take as given the need for ethics education in the AI and general CS curricula. The anticipated surge in AI ethics education will force the field to reckon with delineating and then evaluating learner outcomes to determine what is working and improve what is not. We argue for a more descriptive than normative focus of this ethics education, and propose the development of assessments that can measure descriptive ethical thinking about AI. Such an assessment tool for measuring ethical reasoning capacity in CS contexts must be designed to produce reliable scores for which there is established validity evidence concerning their interpretation and use.

Original language	English
Title of host publication	AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
Pages	13525-13528
Number of pages	4
ISBN (Electronic)	9781577358350
State	Published - 2020
Event	34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, United States Duration: Feb 7 2020 → Feb 12 2020

Publication series

Name	AAAI 2020 - 34th AAAI Conference on Artificial Intelligence

Conference

Conference	34th AAAI Conference on Artificial Intelligence, AAAI 2020
Country/Territory	United States
City	New York
Period	2/7/20 → 2/12/20

Bibliographical note

Publisher Copyright:
© 2020, Association for the Advancement of Artificial Intelligence.

ASJC Scopus subject areas

Artificial Intelligence

Cite this

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title = "Assessing ethical thinking about ai",

abstract = "As is evidenced by the associated AI, Ethics and Society conference, we now take as given the need for ethics education in the AI and general CS curricula. The anticipated surge in AI ethics education will force the field to reckon with delineating and then evaluating learner outcomes to determine what is working and improve what is not. We argue for a more descriptive than normative focus of this ethics education, and propose the development of assessments that can measure descriptive ethical thinking about AI. Such an assessment tool for measuring ethical reasoning capacity in CS contexts must be designed to produce reliable scores for which there is established validity evidence concerning their interpretation and use.",

author = "Judy Goldsmith and Emanuelle Burton and Dueber, {David M.} and Beth Goldstein and Shannon Sampson and Toland, {Michael D.}",

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year = "2020",

language = "English",

series = "AAAI 2020 - 34th AAAI Conference on Artificial Intelligence",

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TY - GEN

T1 - Assessing ethical thinking about ai

AU - Goldsmith, Judy

AU - Burton, Emanuelle

AU - Dueber, David M.

AU - Goldstein, Beth

AU - Sampson, Shannon

AU - Toland, Michael D.

PY - 2020

Y1 - 2020

N2 - As is evidenced by the associated AI, Ethics and Society conference, we now take as given the need for ethics education in the AI and general CS curricula. The anticipated surge in AI ethics education will force the field to reckon with delineating and then evaluating learner outcomes to determine what is working and improve what is not. We argue for a more descriptive than normative focus of this ethics education, and propose the development of assessments that can measure descriptive ethical thinking about AI. Such an assessment tool for measuring ethical reasoning capacity in CS contexts must be designed to produce reliable scores for which there is established validity evidence concerning their interpretation and use.

AB - As is evidenced by the associated AI, Ethics and Society conference, we now take as given the need for ethics education in the AI and general CS curricula. The anticipated surge in AI ethics education will force the field to reckon with delineating and then evaluating learner outcomes to determine what is working and improve what is not. We argue for a more descriptive than normative focus of this ethics education, and propose the development of assessments that can measure descriptive ethical thinking about AI. Such an assessment tool for measuring ethical reasoning capacity in CS contexts must be designed to produce reliable scores for which there is established validity evidence concerning their interpretation and use.

UR - http://www.scopus.com/inward/record.url?scp=85106535669&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85106535669&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85106535669

T3 - AAAI 2020 - 34th AAAI Conference on Artificial Intelligence

SP - 13525

EP - 13528

BT - AAAI 2020 - 34th AAAI Conference on Artificial Intelligence

T2 - 34th AAAI Conference on Artificial Intelligence, AAAI 2020

Y2 - 7 February 2020 through 12 February 2020

ER -

Assessing ethical thinking about ai

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this