The application of artificial intelligence in police interrogations: An analysis addressing the proposed effect AI has on racial and gender bias, cooperation, and false confessions
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There are societal impacts of inaccurate A.I. decision-making algorithms that can lead to unfair or discriminatory practices, as has been noted among many recommendation engines.
“There are also societal impacts of inaccurate A.I. decision-making algorithms that can lead to unfair or discriminatory practices, as has been noted among many recommendation engines (Noriega, 2020).”
From Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022) · cites this paper as Noriega, 2020
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- Authors
- Noriega, M.
- Affiliations
- University of Oslo (NO)
- Corresponding author
- Noriega, Maria
- Venue
- Futures
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 117
- Pages
- 102510
- ISSN
- 0016-3287 (ISSN-L)
- OpenAlex
- W2981659567
- Cited by
- 50
- References
- 40
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 9 · 2023: 7 · 2022: 9 · 2021: 8 · 2020: 2
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Futures (publishedVersion)
- Duo Research Archive (University of Oslo) (submittedVersion)
- Funders
- University of Oslo’s
- Topics
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Sociology and Political Science › Torture, Ethics, and Law
- Keywords
- artificial intelligence in policing, police interrogation, false confessions, racial bias, gender bias, suspect cooperation, coercive interrogation, voluntariness of confession
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