Luccioni, Alexandra Sasha

Quantifying the Carbon Emissions of Machine Learning

Lacoste, A., Luccioni, A., Schmidt, V., & Dandres, T. (2019) · arXiv

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 408

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

Luccioni, A. S., Viguier, S., & Ligozat, A.-L. (2022) · arXiv

Green IT and SustainabilityEnvironmental Impact and Sustainability

Cited by 378

Tackling climate change with machine learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys

Climate Change and Environmental ImpactArtificial Intelligence Applications

Cited by 336

Measuring the Carbon Intensity of AI in Cloud Instances

Dodge, J., Prewitt, T., Tachet des Combes, R., Odmark, E., Schwartz, R., Strubell, E., Luccioni, A. S., Smith, N. A., DeCario, N., & Buchanan, W. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 257

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

Jernite, Y., Nguyen, H., Biderman, S., Rogers, A., Masoud, M., Danchev, V., Tan, S., Luccioni, A. S., Subramani, N., Johnson, I., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 75

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate

Luccioni, A. S., Strubell, E., & Crawford, K. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Green IT and SustainabilityEnvironmental Impact and Sustainability

Cited by 71

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

Luccioni, A., & Viviano, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

Hate Speech and Cyberbullying DetectionNatural Language Processing Techniques

Cited by 69

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

Luccioni, A. S., Corry, F., Sridharan, H., Ananny, M., Schultz, J., & Crawford, K. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 22

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

Luccioni, A. S., Corry, F., Sridharan, H., Ananny, M., Schultz, J., & Crawford, K. (2021) · arXiv

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 22

What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus

Luccioni, A. S., & Viviano, J. D. (2021) · arXiv

Hate Speech and Cyberbullying DetectionTopic Modeling

Cited by 17

Fully Autonomous AI Agents Should Not be Developed

Mitchell, M., Ghosh, A., Luccioni, A. S., & Pistilli, G. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 11