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Autori principali: Mitra, Bhaskar, Cramer, Henriette, Gurevich, Olya
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2405.11612
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author Mitra, Bhaskar
Cramer, Henriette
Gurevich, Olya
author_facet Mitra, Bhaskar
Cramer, Henriette
Gurevich, Olya
contents Robust access to trustworthy information is a critical need for society with implications for knowledge production, public health education, and promoting informed citizenry in democratic societies. Generative AI technologies may enable new ways to access information and improve effectiveness of existing information retrieval systems but we are only starting to understand and grapple with their long-term social implications. In this chapter, we present an overview of some of the systemic consequences and risks of employing generative AI in the context of information access. We also provide recommendations for evaluation and mitigation, and discuss challenges for future research.
format Preprint
id arxiv_https___arxiv_org_abs_2405_11612
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sociotechnical Implications of Generative Artificial Intelligence for Information Access
Mitra, Bhaskar
Cramer, Henriette
Gurevich, Olya
Information Retrieval
Artificial Intelligence
Robust access to trustworthy information is a critical need for society with implications for knowledge production, public health education, and promoting informed citizenry in democratic societies. Generative AI technologies may enable new ways to access information and improve effectiveness of existing information retrieval systems but we are only starting to understand and grapple with their long-term social implications. In this chapter, we present an overview of some of the systemic consequences and risks of employing generative AI in the context of information access. We also provide recommendations for evaluation and mitigation, and discuss challenges for future research.
title Sociotechnical Implications of Generative Artificial Intelligence for Information Access
topic Information Retrieval
Artificial Intelligence
url https://arxiv.org/abs/2405.11612