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1. Algorithmic bias: review, synthesis, and future research directions
Link: https://www.tandfonline.com/doi/full/10.1080/0960085X.2021.1927212
Description: Jun 6, 2021 · This paper reviews, summarises, and synthesises the current literature related to algorithmic bias and makes recommendations for future information systems research. Our literature analysis shows that most studies have conceptually discussed the ethical, legal, and design implications of algorithmic bias, whereas only a limited number have ...
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2. Algorithmic bias: Senses, sources, solutions - Fazelpour - 2021
Link: https://compass.onlinelibrary.wiley.com/doi/10.1111/phc3.12760
Description: Jun 12, 2021 · This research includes work on identification, diagnosis, and response to biases in algorithm-based decision-making. This paper aims to facilitate the application of philosophical analysis to these contested issues by providing an overview of three key topics: What is algorithmic bias? Why and how can it occur? What can and should be done about it?
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3. Algorithmic bias detection and mitigation: Best practices and …
Link: https://www.brookings.edu/articles/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
Description: May 22, 2019 · Our research presents a framework for algorithmic hygiene, which identifies some specific causes of biases and employs best practices to identify and mitigate them. We also present a set of...
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4. Countering Algorithmic Bias and Disinformation and Effectively
Link: https://journals.sagepub.com/doi/10.1177/10776990221129245
Description: Nov 17, 2022 · He proposes three directions for future research of algorithmic biases: (a) move beyond voluntary selective exposure and confirmation bias; (b) take a holistic approach to media effects studies; and (c) look at the longer-term and spiraling impact of algorithmic amplification.
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5. Guiding Principles to Address the Impact of Algorithm Bias on …
Link: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2812958
Description: Dec 15, 2023 · Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366 (6464):447-453. doi: 10.1126/science.aax2342 PubMed. Organization for Economic Cooperation and Development. Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449. 2019.
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6. Algorithmic Bias: A Challenge for Ethical Artificial ... - Springer
Link: https://link.springer.com/chapter/10.1007/978-981-99-8834-1_5
Description: Dec 31, 2023 · The recent research on AI (algorithms) consists of various streams such as its capabilities and benefits, applications, human–AI interaction, and the dark side of AI which includes algorithmic bias and the need for ethical AI. This chapter mainly discusses the recent work (years 2016–2022) on algorithmic bias.
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7. (PDF) Artifical Intelligence and Bias: Challenges ... - ResearchGate
Link: https://www.researchgate.net/publication/374493754_Artifical_Intelligence_and_Bias_Challenges_Implications_and_Remedies
Description: Oct 5, 2023 · The primary objectives of this research are to examine the concept of algorithmic bias, assess its ethical and human rights implications, identify its causes and mechanisms, evaluate its...
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8. Are algorithms biased in education? Exploring racial bias in …
Link: https://onlinelibrary.wiley.com/doi/full/10.1002/pam.22569
Description: Jan 31, 2024 · In this paper, we build on the existing line of research on algorithmic bias in education by providing a comprehensive and translational investigation of two separate prediction algorithms—the first predicting course-level completion, …
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9. Algorithmic Bias in Education | International Journal of Artificial
Link: https://link.springer.com/article/10.1007/s40593-021-00285-9
Description: Nov 18, 2021 · Algorithmic Bias in Education. ARTICLE. Published: 18 November 2021. Volume 32 , pages 1052–1092, ( 2022 ) Cite this article. Download PDF. International Journal of Artificial Intelligence in Education Aims and scope Submit manuscript. Ryan S. Baker & Aaron Hawn. 10k Accesses. 74 Citations. 22 Altmetric. 2 Mentions. Explore all metrics. Abstract.
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10. To stop algorithmic bias, we first have to define it | Brookings
Link: https://www.brookings.edu/articles/to-stop-algorithmic-bias-we-first-have-to-define-it/
Description: Oct 21, 2021 · Algorithms provide decisionmakers with information—a forecast, a probability, or some other key unknown—in order to improve the quality of decisions. Building on this simple observation, we propose...