Repair and redress: A research program for algorithmic futures
Fairness initiatives have dominated efforts to reduce the social harms caused by algorithms in society. To date, those approaches have proven inadequate. We thus trouble the fairness paradigm, suggesting a reorientation towards repair and redress. We do so through concerted attention to and investigation of, algorithmic reparation . First introduced at the peak of algorithmic fairness, algorithmic reparation seeded an alternative that has since spread and evolved. Here, we present a collaborative critique of fairness from scholars across disciplines and domains, establish algorithmic reparation as a research program and political project, and lay ground for future developments.
Authors
- Apryl Williams
- Jenny L. Davis (ORCID: https://orcid.org/0000-0003-0952-5842)
Institutions
- Australian National University (AU)
- Vanderbilt University (US)
- University of Michigan (US)
Publication Details
- Journal
- Big Data & Society
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1177/20539517251361119
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00