Algorithmic Bias: A Challenge for Ethical Artificial Intelligence (AI)

Divya Dwivedi
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Divya Dwivedi: IIM Bangalore

Chapter Chapter 5 in Immersive Technology and Experiences, 2024, pp 67-84 from Springer

Abstract: Abstract Artificial Intelligence (AI) has become an important aspect of our lives as it has humongous potential to support humans in various domains by sharing the cognitive load. However, the ethical side of AI poses serious challenges. There have been several cases when AI algorithms are declared as unfair, inscrutable, harmful, i.e., biased. Therefore, it becomes important to understand—What kinds of algorithmic biases exist and how do they occur? What are their sources? How can they be identified and corrected to make them more ethical? What are the optimum ways to exploit them? This chapter offers a thematic review of ‘Algorithmic bias’ by exploring the recent literature (2016–2022) to find the answers to the above questions.

Keywords: Ethical AI; Algorithmic bias; Explainability; Transparency; Accountability (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-8834-1_5

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DOI: 10.1007/978-981-99-8834-1_5

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