Interrogating Algorithmic Bias: From Speculative Fiction to Liberatory Design

Autor/in	Gaskins, Nettrice
Titel	Interrogating Algorithmic Bias: From Speculative Fiction to Liberatory Design
Quelle	In: TechTrends: Linking Research and Practice to Improve Learning, 67 (2023) 3, S.417-425 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Gaskins, Nettrice)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	8756-3894
DOI	10.1007/s11528-022-00783-0
Schlagwörter	Algorithms; Bias; Artificial Intelligence; Educational Technology; Fiction; Design; Computer Software; Brainstorming; Problem Solving; Creativity; Films; Private Sector; Justice + Suchen Sie Ihr Suchwort? Algorithm; Algorithmus; Künstliche Intelligenz; Unterrichtsmedien; Fiktion; Problemlösen; Kreativität; Film; Privater Sektor; Gerechtigkeit
Abstract	This paper reviews algorithmic or artificial intelligence (AI) bias in education technology, especially through the lenses of speculative fiction, speculative and liberatory design. It discusses the causes of the bias and reviews literature on various ways that algorithmic/AI bias manifests in education and in communities that are underrepresented in EdTech software development. While other recent work has responded to mainstream or private sector technology development, this review looks elsewhere where practitioners, artists, and activists engage underrepresented communities in brainstorming processes to identify and solve tough challenges. Their creative work includes films, toolkits, applications, prototypes and other physical artifacts, and other future-facing ideas that can provide guideposts for private sector development. Acknowledging the gaps in what has been studied, this paper proposes a different approach that includes speculative and liberatory design thinking, which can help developers better understand the educational and personal contexts of underrepresented groups. Early efforts to advocate for fairness and equity in AI and EdTech by groups such as the Algorithmic Justice League, the EdTech Equity Project, and EdSAFE AI Alliance is also explored. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01