This chapter offers a sociological interpretation of the main consequences of Generative Artificial Intelligence and Large Language Models (LLM) in the fields of healthcare and education, two areas where technological innovation has traditionally had room for experimentation and application. We aim to outline both positive (the good) and negative (the bad) social implications, while also highlighting a gray area (the unknown) where outcomes are ambiguous.
Sartori, L., Piva, R. (2026). Generative AI for Healthcare and Education. Cham : Springer [10.1007/978-3-031-61050-9_41-1].
Generative AI for Healthcare and Education
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 the fields of healthcare and education, two areas where technological innovation has traditionally had room for experimentation and application. We aim to outline both positive (the good) and negative (the bad) social implications, while also highlighting a gray area (the unknown) where outcomes are ambiguous.File in questo prodotto:
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