Educating Software and AI Stakeholders about Algorithmic Fairness, Accountability, Transparency and Ethics

Autor/inn/en	Bogina, Veronika; Hartman, Alan; Kuflik, Tsvi; Shulner-Tal, Avital
Titel	Educating Software and AI Stakeholders about Algorithmic Fairness, Accountability, Transparency and Ethics
Quelle	In: International Journal of Artificial Intelligence in Education, 32 (2022) 3, S.808-833 (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1560-4292
DOI	10.1007/s40593-021-00248-0
Schlagwörter	Educational Technology; Computer Software; Artificial Intelligence; Stakeholders; Mathematics; Accountability; Ethics; Educational Resources; College Admission; Graduate Study; Seminars; Summer Schools; Lecture Method; Engineering Education; Teacher Workshops; High School Teachers + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Künstliche Intelligenz; Mathematik; Verantwortung; Ethik; Bildungsmittel; Hochschulzugang; Hochschulzulassung; Zulassung; Aufbaustudium; Graduiertenstudium; Hauptstudium; Seminar; Summer school; Sommerkurs; Ingenieurausbildung; High school; High schools; Teacher; Teachers; Oberschule; Lehrer; Lehrerin; Lehrende
Abstract	This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing the need for such education and identifying the intended consumers of educational materials on the topic. We discuss the topics of greatest concern and in need of educational resources; we also survey the existing materials and past experiences in such education, noting the scarcity of suitable material on aspects of fairness in particular. We use an example of a college admission platform to illustrate our ideas. We conclude with recommendations for further work in the area and report on the first steps taken towards achieving this goal in the framework of an academic graduate seminar course, a graduate summer school, an embedded lecture in a software engineering course, and a workshop for high school teachers. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01