An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence
Abstract
Machine learning algorithms and artificial intelligence influence many aspects of life today and have gained an aura of objectivity and infallibility. The use of these tools introduces a new level of risk and complexity in policy. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems.
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AI systems can make systemic and random errors.
“As will be discussed below, AI systems can make systemic and random errors [70, 174].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [174]
Cites
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- Authors
- Osoba, O., & Welser, W.
- ORCID
- Osoba, Osonde
- Venue
- RAND Corporation eBooks
- Publisher
- RAND Corporation
- Published
- 2017
- OpenAlex
- W2616399473
- Cited by
- 326
- References
- 1
- Citations by year
- 2026: 6 · 2025: 42 · 2024: 36 · 2023: 51 · 2022: 64 · 2021: 48 · 2020: 52 · 2019: 17 · 2018: 8 · 2017: 2
- FWCI
- 30.00
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- RAND Corporation eBooks (publishedVersion)
- International Linear Collider (submittedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- artificial intelligence, algorithmic bias, algorithmic errors, machine learning, algorithmic accountability, policy implications, fairness
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