Sasha Luccioni

According to our database, Sasha Luccioni authored at least 56 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI.

Gaël Varoquaux, Alexandra Sasha Luccioni, Meredith Whittaker

CoRR, 2024

Open Problems in Technical AI Governance.

Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager

CoRR, 2024

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.

Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini

CoRR, 2024

Position: Key Claims in LLM Research Have a Long Tail of Footnotes.

Anna Rogers, Sasha Luccioni

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Sasha Luccioni, Yacine Jernite, Emma Strubell

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

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

Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.

Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat

J. Mach. Learn. Res., 2023

Tackling Climate Change with Machine Learning.

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio

ACM Comput. Surv., 2023

Into the LAIONs Den: Investigating Hate in Multimodal Datasets.

Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni

CoRR, 2023

Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice.

Alexandra Sasha Luccioni, Anna Rogers

CoRR, 2023

Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev

CoRR, 2023

Stable Bias: Analyzing Societal Representations in Diffusion Models.

Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite

CoRR, 2023

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.

Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting

CoRR, 2023

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning.

Alexandra Sasha Luccioni, Alex Hernández-García

CoRR, 2023

Stable Bias: Evaluating Societal Representations in Diffusion Models.

Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Into the LAION's Den: Investigating Hate in Multimodal Datasets.

Abeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy and Carbon Considerations of Fine-Tuning BERT.

Xiaorong Wang, Clara Na, Emma Strubell, Sorelle Friedler, Sasha Luccioni

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The ROOTS Search Tool: Data Transparency for LLMs.

Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Bugs in the Data: How ImageNet Misrepresents Biodiversity.

Alexandra Sasha Luccioni, David Rolnick

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Measuring Data.

Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela

CoRR, 2022

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

Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.

CoRR, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.

Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela

CoRR, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell

CoRR, 2022

Metaethical Perspectives on 'Benchmarking' AI Ethics.

Travis LaCroix, Alexandra Sasha Luccioni

CoRR, 2022

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods.

Victor Schmidt, Alexandra Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication.

Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Measuring the Carbon Intensity of AI in Cloud Instances.

Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.

Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Reproducible Machine Learning Research in Natural Language Processing.

Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

From Artificial Intelligence Bias to Inequality in the Time of COVID-19.

Miguel A. Luengo-Oroz, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Alexandra Sasha Luccioni

IEEE Technol. Soc. Mag., 2021

The Problem of Zombie Datasets: A Framework For Deprecating Datasets.

Frances Corry, Hamsini Sridharan, Alexandra Sasha Luccioni, Mike Ananny, Jason Schultz, Kate Crawford

CoRR, 2021

Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19.

Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, Miguel A. Luengo-Oroz

CoRR, 2021

Automated Identification of Climate Risk Disclosures in Annual Corporate Reports.

David Friederich, Lynn H. Kaack, Alexandra Luccioni, Bjarne Steffen

CoRR, 2021

Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification.

Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot

CoRR, 2021

Using Artificial Intelligence to Visualize the Impacts of Climate Change.

Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio, Theresa-Marie Rhyne

IEEE Computer Graphics and Applications, 2021

Ensuring the Inclusive Use of NLP in the Global Response to COVID-19.

Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, Miguel A. Luengo-Oroz

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus.

Alexandra Sasha Luccioni, Joseph D. Viviano

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Sustainability in the Digital Age [Special Issue Introduction].

Amy Luers, Lyse Langlois, Mathilde Mougeot, Sana Kharaghani, Alexandra Luccioni

IEEE Technol. Soc. Mag., 2020

Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The D^2S Agenda: [Commentary].

Amy Luers, Jennifer Garard, Asun Lera St. Clair, Owen Gaffney, Tom Hassenboehler, Lyse Langlois, Mathilde Mougeot, Sasha Luccioni

IEEE Technol. Soc. Mag., 2020

Estimating Carbon Emissions of Artificial Intelligence [Opinion].

Alexandra Luccioni, Alexandre Lacoste, Victor Schmidt

IEEE Technol. Soc. Mag., 2020

On the Morality of Artificial Intelligence [Commentary].

Alexandra Luccioni, Yoshua Bengio

IEEE Technol. Soc. Mag., 2020

Artificial intelligence cooperation to support the global response to COVID-19.

Miguel A. Luengo-Oroz, Katherine Hoffmann Pham, Joseph Bullock, Robert Kirkpatrick, Alexandra Luccioni, Sasha Rubel, Cedric Wachholz, Moez Chakchouk, Phillippa Biggs, Tim Nguyen, Tina Purnat, Bernardo Mariano

Nat. Mach. Intell., 2020

Establishing an evaluation metric to quantify climate change image realism.

Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio

Mach. Learn. Sci. Technol., 2020

Mapping the landscape of Artificial Intelligence applications against COVID-19.

Joseph Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz

J. Artif. Intell. Res., 2020

Analyzing Sustainability Reports Using Natural Language Processing.

Alexandra Luccioni, Emily Baylor, Nicolas Duchene

CoRR, 2020

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19.

Alexandra Sasha Luccioni, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz

CoRR, 2020

Using Simulated Data to Generate Images of Climate Change.

Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio

CoRR, 2020

2019

On the Morality of Artificial Intelligence.

Alexandra Luccioni, Yoshua Bengio

CoRR, 2019

Quantifying the Carbon Emissions of Machine Learning.

Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, Thomas Dandres

CoRR, 2019

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks.

Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio

CoRR, 2019

2016

STI-DICO: A Web-Based System for Intelligent Tutoring of Dictionary Skills.

Alexandra Luccioni, Roger Nkambou, Jean Massardi, Jacqueline Bourdeau, Claude Coulombe

Proceedings of the 25th International Conference on World Wide Web, 2016

STI-DICO: A Web-Based ITS for Fostering Dictionary Skills and Knowledge.

Alexandra Luccioni, Jacqueline Bourdeau, Jean Massardi, Roger Nkambou

Proceedings of the Adaptive and Adaptable Learning, 2016

2015

Overspecified references: An experiment on lexical acquisition in a virtual environment.

Alexandra Luccioni, Luciana Benotti, Frédéric Landragin

Comput. Hum. Behav., 2015