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.

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Introduction to the Bridgerton Paradox

  • Somendra Narayan

摘要

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.