Search Results - "Pistilli, Giada"

Debating AI in Archaeology: applications, implications, and ethical considerations by Tenzer, Martina, Pistilli, Giada, Bransden, Alex, Shenfield, Alex

“…Artificial Intelligence (AI) is not a recent development. However, with increasing computational capabilities, AI has developed into Natural Language…”
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BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model by Akiki, Christopher, Pistilli, Giada, Mieskes, Margot, Gallé, Matthias, Wolf, Thomas, Ilić, Suzana, Jernite, Yacine

“…The BigScience Workshop was a value-driven initiative that spanned one and half years of interdisciplinary research and culminated in the creation of ROOTS, a…”
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Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions by Rocca, Roberta, Pistilli, Giada, Maheshwari, Kritika, Fusaroli, Riccardo

“…As mental health care systems worldwide struggle to meet demand, there is increasing focus on using language models to infer neuropsychiatric conditions or…”
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CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models by Pistilli, Giada, Leidinger, Alina, Jernite, Yacine, Kasirzadeh, Atoosa, Luccioni, Alexandra Sasha, Mitchell, Margaret

“…This paper introduces the "CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts" dataset, designed to evaluate the social and cultural…”
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Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML by Pistilli, Giada, Ferrandis, Carlos Munoz, Jernite, Yacine, Mitchell, Margaret

“…The growing need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and…”
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BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model by Akiki, Christopher, Pistilli, Giada, Mieskes, Margot, Gallé, Matthias, Wolf, Thomas, Ilić, Suzana, Jernite, Yacine

“…The BigScience Workshop was a value-driven initiative that spanned one and half years of interdisciplinary research and culminated in the creation of ROOTS, a…”
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Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence by Constantinides, Marios, Tahaei, Mohammad, Quercia, Daniele, Stumpf, Simone, Madaio, Michael, Kennedy, Sean, Wilcox, Lauren, Vitak, Jessica, Cramer, Henriette, Bogucka, Edyta, Baeza-Yates, Ricardo, Luger, Ewa, Holbrook, Jess, Muller, Michael, Blumenfeld, Ilana Golbin, Pistilli, Giada

“…With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible…”
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The Ghost in the Machine has an American accent: value conflict in GPT-3 by Johnson, Rebecca L, Pistilli, Giada, Menédez-González, Natalia, Duran, Leslye Denisse Dias, Panai, Enrico, Kalpokiene, Julija, Bertulfo, Donald Jay

“…The alignment problem in the context of large language models must consider the plurality of human values in our world. Whilst there are many resonant and…”
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The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset by Laurençon, Hugo, Saulnier, Lucile, Wang, Thomas, Akiki, Christopher, del Moral, Albert Villanova, Scao, Teven Le, Von Werra, Leandro, Mou, Chenghao, Ponferrada, Eduardo González, Nguyen, Huu, Frohberg, Jörg, Šaško, Mario, Lhoest, Quentin, McMillan-Major, Angelina, Dupont, Gerard, Biderman, Stella, Rogers, Anna, allal, Loubna Ben, De Toni, Francesco, Pistilli, Giada, Nguyen, Olivier, Nikpoor, Somaieh, Masoud, Maraim, Colombo, Pierre, de la Rosa, Javier, Villegas, Paulo, Thrush, Tristan, Longpre, Shayne, Nagel, Sebastian, Weber, Leon, Muñoz, Manuel, Zhu, Jian, Van Strien, Daniel, Alyafeai, Zaid, Almubarak, Khalid, Vu, Minh Chien, Gonzalez-Dios, Itziar, Soroa, Aitor, Lo, Kyle, Dey, Manan, Suarez, Pedro Ortiz, Gokaslan, Aaron, Bose, Shamik, Adelani, David, Phan, Long, Tran, Hieu, Yu, Ian, Pai, Suhas, Chim, Jenny, Lepercq, Violette, Ilic, Suzana, Mitchell, Margaret, Luccioni, Sasha Alexandra, Jernite, Yacine

“…As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The…”
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