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CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation



Mark Diaz , Ian D. Kivlichan , Rachel Rosen , Dylan K. Baker , Razvan Amironesei , Vinodkumar Prabhakaran , Emily Denton

* 11 pages, Accepted at 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT). arXiv admin note: text overlap with arXiv:2112.04554 

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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding



Chitwan Saharia , William Chan , Saurabh Saxena , Lala Li , Jay Whang , Emily Denton , Seyed Kamyar Seyed Ghasemipour , Burcu Karagol Ayan , S. Sara Mahdavi , Rapha Gontijo Lopes , Tim Salimans , Jonathan Ho , David J Fleet , Mohammad Norouzi


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Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation



Emily Denton , Mark Díaz , Ian Kivlichan , Vinodkumar Prabhakaran , Rachel Rosen


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Ethics and Creativity in Computer Vision



Negar Rostamzadeh , Emily Denton , Linda Petrini

* NeurIPS 2021 workshop on Machine Learning for Creativity and Design 
* Neural Information Processing System 2021 workshop on Machine Learning for Creativity and Design 

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Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research



Bernard Koch , Emily Denton , Alex Hanna , Jacob G. Foster

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia 

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AI and the Everything in the Whole Wide World Benchmark



Inioluwa Deborah Raji , Emily M. Bender , Amandalynne Paullada , Emily Denton , Alex Hanna

* Accepted in NeurIPS 2021 Benchmarks and Datasets track 

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Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development



Morgan Klaus Scheuerman , Emily Denton , Alex Hanna

* Morgan Klaus Scheuerman, Emily Denton, and Alex Hanna. 2021. Do Datasets Have Politics? DisciplinaryValues in Computer Vision Dataset Development.Proc. ACM Hum.-Comput. Interact.5, CSCW2, Article 317(October 2021), 37 pages 
* CSCW 2021; 37 pages 

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Data and its (dis)contents: A survey of dataset development and use in machine learning research



Amandalynne Paullada , Inioluwa Deborah Raji , Emily M. Bender , Emily Denton , Alex Hanna


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Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure



Ben Hutchinson , Andrew Smart , Alex Hanna , Emily Denton , Christina Greer , Oddur Kjartansson , Parker Barnes , Margaret Mitchell


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Characterising Bias in Compressed Models



Sara Hooker , Nyalleng Moorosi , Gregory Clark , Samy Bengio , Emily Denton


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