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Interrogating Algorithmic Bias: From Speculative Fiction to Liberatory Design
- Source :
-
TechTrends: Linking Research and Practice to Improve Learning . May 2023 67(3):417-425. - Publication Year :
- 2023
-
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.
Details
- Language :
- English
- ISSN :
- 8756-3894 and 1559-7075
- Volume :
- 67
- Issue :
- 3
- Database :
- ERIC
- Journal :
- TechTrends: Linking Research and Practice to Improve Learning
- Publication Type :
- Academic Journal
- Accession number :
- EJ1377724
- Document Type :
- Journal Articles<br />Reports - Descriptive
- Full Text :
- https://doi.org/10.1007/s11528-022-00783-0