This chapter critiques the corporate appropriation of “DEI” (Diversity, Equity, and Inclusion) rhetoric, revealing how many programs fail to address structural inequalities. Despite buzzwords and superficial diversity campaigns, real change requires a deeper engagement with bias in data pipelines, algorithmic design, and user impact. The chapter emphasizes “cognitive plurality”—bringing multiple perspectives into AI development—and warns that token gestures alone cannot resolve systemic issues. Instead, a genuine transformation must embed ethical and cultural nuance into every stage of AI design.

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Beyond the Buzzwords—Confronting the Myths and Realities of “Diversity” in AI

  • Somendra Narayan

摘要

This chapter critiques the corporate appropriation of “DEI” (Diversity, Equity, and Inclusion) rhetoric, revealing how many programs fail to address structural inequalities. Despite buzzwords and superficial diversity campaigns, real change requires a deeper engagement with bias in data pipelines, algorithmic design, and user impact. The chapter emphasizes “cognitive plurality”—bringing multiple perspectives into AI development—and warns that token gestures alone cannot resolve systemic issues. Instead, a genuine transformation must embed ethical and cultural nuance into every stage of AI design.