Sasha Luccioni

Orcid: 0000-0001-6238-7050

Affiliations:
  • HuggingFace
  • Université de Montréal, Canada (former)


According to our database1, Sasha Luccioni authored at least 51 papers between 2015 and 2023.

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Timeline

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Bibliography

2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.
J. Mach. Learn. Res., 2023

Tackling Climate Change with Machine Learning.
ACM Comput. Surv., 2023

Power Hungry Processing: Watts Driving the Cost of AI Deployment?
CoRR, 2023

Into the LAIONs Den: Investigating Hate in Multimodal Datasets.
CoRR, 2023

Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice.
CoRR, 2023

Evaluating the Social Impact of Generative AI Systems in Systems and Society.
CoRR, 2023

StarCoder: may the source be with you!
CoRR, 2023

Stable Bias: Analyzing Societal Representations in Diffusion Models.
CoRR, 2023

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.
CoRR, 2023

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning.
CoRR, 2023

Stable Bias: Evaluating Societal Representations in Diffusion Models.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The ROOTS Search Tool: Data Transparency for LLMs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Bugs in the Data: How ImageNet Misrepresents Biodiversity.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Measuring Data.
CoRR, 2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.
CoRR, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
CoRR, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.
CoRR, 2022

Metaethical Perspectives on 'Benchmarking' AI Ethics.
CoRR, 2022


ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication.
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.
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.
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.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Reproducible Machine Learning Research in Natural Language Processing.
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.
IEEE Technol. Soc. Mag., 2021

The Problem of Zombie Datasets: A Framework For Deprecating Datasets.
CoRR, 2021

Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19.
CoRR, 2021

Automated Identification of Climate Risk Disclosures in Annual Corporate Reports.
CoRR, 2021

Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification.
CoRR, 2021

Using Artificial Intelligence to Visualize the Impacts of Climate Change.
IEEE Computer Graphics and Applications, 2021

Ensuring the Inclusive Use of NLP in the Global Response to COVID-19.
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.
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].
IEEE Technol. Soc. Mag., 2020

Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The D^2S Agenda: [Commentary].
IEEE Technol. Soc. Mag., 2020

Estimating Carbon Emissions of Artificial Intelligence [Opinion].
IEEE Technol. Soc. Mag., 2020

On the Morality of Artificial Intelligence [Commentary].
IEEE Technol. Soc. Mag., 2020

Artificial intelligence cooperation to support the global response to COVID-19.
Nat. Mach. Intell., 2020

Establishing an evaluation metric to quantify climate change image realism.
Mach. Learn. Sci. Technol., 2020

Mapping the landscape of Artificial Intelligence applications against COVID-19.
J. Artif. Intell. Res., 2020

Analyzing Sustainability Reports Using Natural Language Processing.
CoRR, 2020

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19.
CoRR, 2020

Using Simulated Data to Generate Images of Climate Change.
CoRR, 2020

2019
On the Morality of Artificial Intelligence.
CoRR, 2019

Quantifying the Carbon Emissions of Machine Learning.
CoRR, 2019

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks.
CoRR, 2019

2016
STI-DICO: A Web-Based System for Intelligent Tutoring of Dictionary Skills.
Proceedings of the 25th International Conference on World Wide Web, 2016

STI-DICO: A Web-Based ITS for Fostering Dictionary Skills and Knowledge.
Proceedings of the Adaptive and Adaptable Learning, 2016

2015
Overspecified references: An experiment on lexical acquisition in a virtual environment.
Comput. Hum. Behav., 2015


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