Introduction to the Bridgerton Paradox

Somendra Narayan ()
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Somendra Narayan: University of Amsterdam, Amsterdam Business School

Chapter Chapter 1 in The Bridgerton Paradox in Artificial Intelligence, 2025, pp 1-9 from Springer

Abstract: Abstract This chapter establishes the core dilemma at the heart of the book—whether AI should preserve historically biased data as a form of authenticity or correct it to champion modern inclusivity. Termed the “Bridgerton Paradox,” it draws from the Netflix series Bridgerton as a metaphor for AI’s ethical challenge. The chapter maps out key tensions, such as the interplay between data curation and post hoc bias corrections, and introduces the theoretical lenses—systems thinking and Nagarjunian relational epistemology—that will inform the discussion throughout the book.

Keywords: Bridgerton paradox; Data curation; Post hoc corrections; Systems theory; Relational epistemology (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-99493-7_1

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DOI: 10.1007/978-3-031-99493-7_1

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