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The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains.
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RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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DataHub: Collaborative Data Science & Dataset Version Management at Scale
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In Advances in Neural Information Processing Systems (NeurIPS)
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The Perpetual Line-Up: Unregulated Police Face Recognition in America
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Hiring Algorithms Are Not Neutral
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OpenImages: A public dataset for large-scale multi-label and multi-class image classification
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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT*) . 77–91
Joy Buolamwini and Timnit Gebru. 2018 · 2018
How AI Could Smarten Up Our Water System
Mary Catherine O’Connor. 2017 · 2018
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Baselines and a datasheet for the Cerema AWP dataset
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How to Prevent Discriminatory Outcomes in Machine Learning
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Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?. In 2019 ACM CHI Conference on Human Factors in Computing Systems
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, and Hanna M. Wallach. 2019 · 2019
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Project will use AI to prevent or minimize electric grid failures
Glennda Chui. 2017 · 2018
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Amazon scraps secret AI recruiting tool that showed bias against women
Jeffrey Dastin. 2018 · 2018
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Increasing Trust in AI Services through Supplier’s Declarations of Conformity
Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, and Kush R. Varshney. 2018 · 2018
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Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019 · 2019
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Toward Gender-Inclusive Coreference Resolution. In Proceedings of the Conference of the Association for Computational Linguistics (ACL)
Yang Trista Cao and Hal Daumé, III. 2020 · 2020
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The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence. In NeurIPS Workshop on Dataset Curation and Security
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