Overspecified references: An experiment on lexical acquisition in a virtual environment. - Alexandra Luccioni; Luciana Benotti; Frédéric Landragin (Comput. Hum. Behav., 2015)

STI-DICO: A Web-Based ITS for Fostering Dictionary Skills and Knowledge. - Alexandra Luccioni; Jacqueline Bourdeau; Jean Massardi; Roger Nkambou (EC-TEL, 2016)

STI-DICO: A Web-Based System for Intelligent Tutoring of Dictionary Skills. - Alexandra Luccioni; Roger Nkambou; Jean Massardi; Jacqueline Bourdeau; Claude Coulombe (WWW (Companion Volume), 2016)

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)

Quantifying the Carbon Emissions of Machine Learning. - Alexandre Lacoste; Alexandra Luccioni; Victor Schmidt; Thomas Dandres (CoRR, 2019)

On the Morality of Artificial Intelligence. - Alexandra Luccioni; Yoshua Bengio (CoRR, 2019)

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)

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)

Analyzing Sustainability Reports Using Natural Language Processing. - Alexandra Luccioni; Emily Baylor; Nicolas Duchene (CoRR, 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)

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)

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)

On the Morality of Artificial Intelligence [Commentary]. - Alexandra Luccioni; Yoshua Bengio (IEEE Technol. Soc. Mag., 2020)

Estimating Carbon Emissions of Artificial Intelligence [Opinion]. - Alexandra Luccioni; Alexandre Lacoste; Victor Schmidt (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)

Sustainability in the Digital Age [Special Issue Introduction]. - Amy Luers; Lyse Langlois; Mathilde Mougeot; Sana Kharaghani; Alexandra Luccioni (IEEE Technol. Soc. Mag., 2020)

What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus. - Alexandra Sasha Luccioni; Joseph D. Viviano (ACL/IJCNLP (2), 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 (PKDD/ECML Workshops (2), 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)

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)

Automated Identification of Climate Risk Disclosures in Annual Corporate Reports. - David Friederich; Lynn H. Kaack; Alexandra Luccioni; Bjarne Steffen (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)

The Problem of Zombie Datasets: A Framework For Deprecating Datasets. - Frances Corry; Hamsini Sridharan; Alexandra Sasha Luccioni; Mike Ananny; Jason Schultz; Kate Crawford 002 (CoRR, 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)

Towards Reproducible Machine Learning Research in Natural Language Processing. - Ana Lucic; Maurits J. R. Bleeker; Samarth Bhargav 001; Jessica Zosa Forde; Koustuv Sinha; Jesse Dodge; Sasha Luccioni; Robert Stojnic (ACL (tutorial), 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 (EMNLP (Demos), 2022)

Measuring the Carbon Intensity of AI in Cloud Instances. - Jesse Dodge; Taylor Prewitt; Remi Tachet des Combes; Erika Odmark; Roy Schwartz 001; Emma Strubell; Alexandra Sasha Luccioni; Noah A. Smith; Nicole DeCario; Will Buchanan (FAccT, 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 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication. - Alexandra Sasha Luccioni; Frances Corry; Hamsini Sridharan; Mike Ananny; Jason Schultz; Kate Crawford 002 (FAccT, 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 (ICLR, 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; et al. (NeurIPS, 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; 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; et al. (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; et al. (CoRR, 2022)

Measuring Data. - Margaret Mitchell; Alexandra Sasha Luccioni; Nathan Lambert 001; Marissa Gerchick; Angelina McMillan-Major; Ezinwanne Ozoani; Nazneen Rajani; Tristan Thrush; Yacine Jernite; Douwe Kiela (CoRR, 2022)

Bugs in the Data: How ImageNet Misrepresents Biodiversity. - Alexandra Sasha Luccioni; David Rolnick (AAAI, 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 (ACL (demo), 2023)

Energy and Carbon Considerations of Fine-Tuning BERT. - Xiaorong Wang; Clara Na; Emma Strubell; Sorelle A. Friedler; Sasha Luccioni (EMNLP (Findings), 2023)

Into the LAION's Den: Investigating Hate in Multimodal Datasets. - Abeba Birhane; Vinay Uday Prabhu; Sanghyun Han; Vishnu Boddeti; Sasha Luccioni (NeurIPS, 2023)

Stable Bias: Evaluating Societal Representations in Diffusion Models. - Sasha Luccioni; Christopher Akiki; Margaret Mitchell; Yacine Jernite (NeurIPS, 2023)

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning. - Alexandra Sasha Luccioni; Alex Hernández-García (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)

Stable Bias: Analyzing Societal Representations in Diffusion Models. - Alexandra Sasha Luccioni; Christopher Akiki; Margaret Mitchell; Yacine Jernite (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; et al. (CoRR, 2023)

Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice. - Alexandra Sasha Luccioni; Anna Rogers (CoRR, 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)

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; et al. (ACM Comput. Surv., 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)

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 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

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 (AIES (1), 2024)

Power Hungry Processing: Watts Driving the Cost of AI Deployment? - Sasha Luccioni; Yacine Jernite; Emma Strubell (FAccT, 2024)

Position: Key Claims in LLM Research Have a Long Tail of Footnotes. - Anna Rogers; Sasha Luccioni (ICML, 2024)

Open Problems in Technical AI Governance. - Anka Reuel; Ben Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (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; et al. (Trans. Mach. Learn. Res., 2024)

Energy Considerations of Large Language Model Inference and Efficiency Optimizations. - Jared Fernandez; Clara Na; Vashisth Tiwari; Yonatan Bisk; Sasha Luccioni; Emma Strubell (ACL (1), 2025)

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate. - Alexandra Sasha Luccioni; Emma Strubell; Kate Crawford 002 (FAccT, 2025)

Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI. - Gaël Varoquaux; Sasha Luccioni; Meredith Whittaker (FAccT, 2025)

Open Problems in Technical AI Governance. - Anka Reuel; Benjamin Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (Trans. Mach. Learn. Res., 2025)

Fully Autonomous AI Agents Should Not be Developed. - Margaret Mitchell; Avijit Ghosh; Alexandra Sasha Luccioni; Giada Pistilli (CoRR, 2025)

Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice. - Alexandra Sasha Luccioni; Giada Pistilli; Raesetje Sefala; Nyalleng Moorosi (CoRR, 2025)

Auditing and instructing text-to-image generation models on fairness. - Felix Friedrich; Manuel Brack; Lukas Struppek; Dominik Hintersdorf; Patrick Schramowski; Sasha Luccioni; Kristian Kersting (AI Ethics, 2025)

Misinformation by Omission: The Need for More Environmental Transparency in AI. - Sasha Luccioni; Boris Gamazaychikov; Théo Alves Da Costa; Emma Strubell (CoRR, 2025)

Metaethical perspectives on 'benchmarking' AI ethics. - Travis LaCroix; Alexandra Sasha Luccioni (AI Ethics, 2025)

More than Carbon: Cradle-to-Grave environmental impacts of GenAI training on the Nvidia A100 GPU. - Sophia Falk; David Ekchajzer; Thibault Pirson; Etienne Lees-Perasso; Augustin Wattiez; Lisa Biber-Freudenberger; Sasha Luccioni; Aimee van Wynsberghe (CoRR, 2025)

Video Killed the Energy Budget: Characterizing the Latency and Power Regimes of Open Text-to-Video Models. - Julien Delavande; Régis Pierrard; Sasha Luccioni (CoRR, 2025)