Artificial Intelligence & Human Rights: Opportunities & Risks
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Artificial intelligence has the potential to perpetuate existing patterns of bias and discrimination because these systems are typically trained to replicate the outcomes achieved by human decision-makers.
“Artificial intelligence has the potential to perpetuate existing patterns of bias and discrimination because these systems are typically trained to replicate the outcomes achieved by human decision-makers (Raso et al. 2018).”
From Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023) · cites this paper as Raso et al. 2018
The reason for algorithmic discrimination is related to data selection.
“McFarland and McFarland (2015), Mayson (2018), Raso et al. (2018), Raub (2018), Raghavan et al. (2020), Njoto (2020), Zixun (2020), and Jackson (2021) suggest that the reason for algorithmic discrimination is related to data selection.”
From Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023) · cites this paper as Raso et al. (2018)
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References 6 · Cited by 189
- Authors
- Raso, F., Hilligoss, H., Krishnamurthy, V., Bavitz, C., & Kim, L. Y.
- Affiliations
- Harvard University (US)
- Corresponding author
- Raso, Filippo
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2018
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2901099967
- Cited by
- 189
- References
- 6
- Citations by year
- 2026: 19 · 2025: 19 · 2024: 22 · 2023: 23 · 2022: 16 · 2021: 25 · 2020: 58 · 2019: 6 · 2018: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Keywords
- artificial intelligence, human rights, right to privacy, algorithmic discrimination, algorithmic bias, AI ethics, human rights law, international law, social inequality
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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