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ORCIDKate Crawford 0002
Person information
- affiliation: University of Southern California, CA, USA
- affiliation: Microsoft Research, New York City, NY, USA
Other persons with the same name
- Kate Crawford 0001 — University of Wollongong, School of Economics and Information Systems, Australia
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2020 – today
- 2025
[i7]Sarah Ciston, Mike Ananny, Kate Crawford:
A Critical Field Guide for Working with Machine Learning Datasets. CoRR abs/2501.15491 (2025)- [i6]Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford:
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate. CoRR abs/2501.16548 (2025) - [i5]Baptiste Caramiaux, Kate Crawford, Q. Vera Liao, Gonzalo Ramos, Jenny Williams:
Generative AI and Creative Work: Narratives, Values, and Impacts. CoRR abs/2502.03940 (2025) - 2024
- [j9]Will Orr
, Kate Crawford:
The social construction of datasets: On the practices, processes, and challenges of dataset creation for machine learning. New Media Soc. 26(9): 4955-4972 (2024) - [i4]Will Orr, Kate Crawford:
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators. CoRR abs/2409.00252 (2024) - 2023
- [c2]Daricia Wilkinson, Kate Crawford, Hanna M. Wallach, Deborah Raji, Bogdana Rakova, Ranjit Singh, Angelika Strohmayer, Ethan Zuckerman:
Accountability in Algorithmic Systems: From Principles to Practice. CHI Extended Abstracts 2023: 521:1-521:4 - 2022
- [c1]Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford:
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication. FAccT 2022: 199-212 - 2021
- [j8]Kate Crawford, Trevor Paglen:
Correction to: Excavating AI: the politics of images in machine learning training sets. AI Soc. 36(4): 1399 (2021) - [j7]Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent J. Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna M. Wallach, Marion Zepf:
Responsible computing during COVID-19 and beyond. Commun. ACM 64(7): 30-32 (2021) - [j6]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for datasets. Commun. ACM 64(12): 86-92 (2021) - [i3]Frances Corry, Hamsini Sridharan, Alexandra Sasha Luccioni, Mike Ananny, Jason Schultz, Kate Crawford:
The Problem of Zombie Datasets: A Framework For Deprecating Datasets. CoRR abs/2111.04424 (2021) - 2020
- [i2]Margarita Boyarskaya, Alexandra Olteanu, Kate Crawford:
Overcoming Failures of Imagination in AI Infused System Development and Deployment. CoRR abs/2011.13416 (2020)
2010 – 2019
- 2018
- [j5]Mike Ananny, Kate Crawford:
Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media Soc. 20(3): 973-989 (2018) - [i1]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for Datasets. CoRR abs/1803.09010 (2018) - 2017
- [j4]Matthew Zook, Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara König, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale:
Ten simple rules for responsible big data research. PLoS Comput. Biol. 13(3) (2017) - 2016
- [j3]Jacob Metcalf, Kate Crawford:
Where are human subjects in Big Data research? The emerging ethics divide. Big Data Soc. 3(1): 205395171665021 (2016) - [j2]Jed R. Brubaker, Mike Ananny, Kate Crawford:
Departing glances: A sociotechnical account of 'leaving' Grindr. New Media Soc. 18(3): 373-390 (2016) - [j1]Kate Crawford, Tarleton Gillespie:
What is a flag for? Social media reporting tools and the vocabulary of complaint. New Media Soc. 18(3): 410-428 (2016)
Coauthor Index
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