Epistemic injustice and data science technologies
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Algorithmic systems can lead to testimonial injustice because of the claim to authority of their outcomes.
“On the testimonial side of the matter, Symons & Alvarado [46] explain that algorithmic systems can lead to testimonial injustice because of the claim to authority of their outcomes.”
From A taxonomy of epistemic injustice in the context of AI and the case for generative hermeneutical erasure (2025) · cites this paper as Symons & Alvarado [46]
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- Authors
- Symons, J., & Alvarado, R.
- Affiliations
- University of Kansas (US)
- University of Oregon (US)
- Corresponding author
- Symons, John
- Venue
- Synthese
- Published
- 2022-03-10
- Volume
- 200
- Issue
- 2
- ISSN
- 0039-7857 (ISSN-L)
- 1573-0964
- OpenAlex
- W4220838917
- Cited by
- 65
- References
- 78
- Citations by year
- 2026: 16 · 2025: 21 · 2024: 13 · 2023: 12 · 2022: 3
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Synthese (publishedVersion)
- PhilSci-Archive (University of Pittsburgh) (acceptedVersion)
- Funders
- U.S. Department of Defense (H98230-18-D-0009)
- Topics
- Social Sciences › Sociology and Political Science › Feminist Epistemology and Gender Studies
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Keywords
- epistemic injustice, epistemic harm, credibility of testimony, criminal justice, workplace hierarchy, educational context, algorithmic harms
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