Welcome to the InfoSci Platform
Decoding Algorithmic Bias: Definitions, Sources, and Mitigation Strategies

Decoding Algorithmic Bias: Definitions, Sources, and Mitigation Strategies

Ozgur Aksoy
Copyright: © 2024 |Pages: 18
ISBN13: 9798369317662|ISBN13 Softcover: 9798369347348|EISBN13: 9798369317679
DOI: 10.4018/979-8-3693-1766-2.ch013
Cite Chapter Cite Chapter

MLA

Aksoy, Ozgur. "Decoding Algorithmic Bias: Definitions, Sources, and Mitigation Strategies." Overcoming Cognitive Biases in Strategic Management and Decision Making, edited by Enis Siniksaran, IGI Global, 2024, pp. 236-253. https://doi.org/10.4018/979-8-3693-1766-2.ch013

APA

Aksoy, O. (2024). Decoding Algorithmic Bias: Definitions, Sources, and Mitigation Strategies. In E. Siniksaran (Ed.), Overcoming Cognitive Biases in Strategic Management and Decision Making (pp. 236-253). IGI Global. https://doi.org/10.4018/979-8-3693-1766-2.ch013

Chicago

Aksoy, Ozgur. "Decoding Algorithmic Bias: Definitions, Sources, and Mitigation Strategies." In Overcoming Cognitive Biases in Strategic Management and Decision Making, edited by Enis Siniksaran, 236-253. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1766-2.ch013

Export Reference

Mendeley
Favorite

Abstract

Predictive algorithms are increasingly used to assist decision-making for efficiency gains. However, it is essential to acknowledge that algorithms can mirror systemic biases in their predictions in a way that favors certain groups over others, even if they are immune to cognitive biases. The notion of algorithms generating unfair predictions is referred to as “algorithmic bias.” Addressing cognitive biases in humans might not always be an effective solution to mitigate algorithmic bias. Therefore, it is essential to understand when and how quantitative technical mitigation methods can address this issue. This chapter explores the fundamental concepts of algorithmic bias, its sources, and technical mitigation strategies. In a world where humans and AI are intertwined, it is our responsibility to ensure a fair digital future. Addressing algorithmic bias is critical to achieving this goal.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.