activity
20222025
most citedThe BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

65 citations · 114 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2025★ 9 cited

Fully Autonomous AI Agents Should Not be Developed

Margaret Mitchell, Avijit Ghosh, Alexandra Sasha Luccioni +1

This paper argues that fully autonomous AI agents should not be developed. In support of this position, we build from prior scientific literature and current product marketing to d…

cs.CY2024

Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions

Roberta Rocca, Giada Pistilli, Kritika Maheshwari +1

As mental health care systems worldwide struggle to meet demand, there is increasing focus on using language models to infer neuropsychiatric conditions or psychopathological trait…

cs.CL2024★ 1 cited

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models

Giada Pistilli, Alina Leidinger, Yacine Jernite +3

This paper introduces the "CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts" dataset, designed to evaluate the social and cultural variation of Large Lang…

cs.HC2024★ 1 cited

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence

Marios Constantinides, Mohammad Tahaei, Daniele Quercia +13

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 Artificial Intelligence…

cs.CY2023★ 23 cited

Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML

Giada Pistilli, Carlos Munoz Ferrandis, Yacine Jernite +1

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 computer science. While thes…

cs.CL2023★ 65 cited

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang +51

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 BigScience workshop,…

cs.CY2022★ 8 cited

BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model

Christopher Akiki, Giada Pistilli, Margot Mieskes +4

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 1.6TB multilingual da…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2022★ 7 cited

The Ghost in the Machine has an American accent: value conflict in GPT-3

Rebecca L Johnson, Giada Pistilli, Natalia Menédez-González +4

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 overlapping values amongs…