This chapter offers a sociological interpretation of the main consequences of Generative Artificial Intelligence and Large Language Models (LLM) in three areas at the center of international debate: work, democracy, and gender. With regard to the first, the debate on the future of work has focused on the substitution/augmentation dualism; the second addresses the potential and threats to the democratic fabric of contemporary societies, while the third touches on the issue of discrimination and bias with particular reference to gender. For all areas, the contribution outlines both positive (the good) and negative (the bad) social implications, while also highlighting a gray area (the unknown) where research findings do not yet point in a clear direction.
Sartori, L., Piva, R. (2026). Generative AI for Work, Democracy, and Gender. Cham : Springer [10.1007/978-3-031-61050-9_27-1].
Generative AI for Work, Democracy, and Gender
Sartori, Laura;Piva, Rachele
2026
Abstract
This chapter offers a sociological interpretation of the main consequences of Generative Artificial Intelligence and Large Language Models (LLM) in three areas at the center of international debate: work, democracy, and gender. With regard to the first, the debate on the future of work has focused on the substitution/augmentation dualism; the second addresses the potential and threats to the democratic fabric of contemporary societies, while the third touches on the issue of discrimination and bias with particular reference to gender. For all areas, the contribution outlines both positive (the good) and negative (the bad) social implications, while also highlighting a gray area (the unknown) where research findings do not yet point in a clear direction.| File | Dimensione | Formato | |
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