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

, , , , , and . FAccT, page 199-212. ACM, (2022)

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Ensuring the Inclusive Use of NLP in the Global Response to COVID-19., , , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 259-266. Springer, (2021)A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication., , , , , and . FAccT, page 199-212. ACM, (2022)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)Measuring the Carbon Intensity of AI in Cloud Instances., , , , , , , , , and . FAccT, page 1877-1894. ACM, (2022)Data Governance in the Age of Large-Scale Data-Driven Language Technology., , , , , , , , , and 10 other author(s). FAccT, page 2206-2222. ACM, (2022)Bugs in the Data: How ImageNet Misrepresents Biodiversity., and . AAAI, page 14382-14390. AAAI Press, (2023)Power Hungry Processing: Watts Driving the Cost of AI Deployment?, , and . CoRR, (2023)Mapping the Landscape of Artificial Intelligence Applications against COVID-19., , , , and . CoRR, (2020)Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning., and . CoRR, (2023)The ROOTS Search Tool: Data Transparency for LLMs., , , , , , , and . CoRR, (2023)