Kate Crawford

22 papers Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Critical Field Guide for Working with Machine Learning Datasets.
CoRR
Sarah Ciston, Mike Ananny, Kate Crawford
2025 — conf
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate.
FAccT
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
2025 J jnl
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate.
CoRR
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
2025 J jnl
Generative AI and Creative Work: Narratives, Values, and Impacts.
CoRR
Baptiste Caramiaux, Kate Crawford, Q. Vera Liao, Gonzalo Ramos, Jenny Williams
2024 J jnl
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators.
CoRR
Will Orr, Kate Crawford
2024 J jnl
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators.
J. Data-centric Mach. Learn. Res.
Will Orr, Kate Crawford
2024 J jnl
The Nine Lives of ImageNet: A Sociotechnical Retrospective of a Foundation Dataset and the Limits of Automated Essentialism.
J. Data-centric Mach. Learn. Res.
Sasha Luccioni, Kate Crawford
2024 J jnl
The social construction of datasets: On the practices, processes, and challenges of dataset creation for machine learning.
New Media Soc.
Will Orr, Kate Crawford
2023 — conf
Accountability in Algorithmic Systems: From Principles to Practice.
CHI Extended Abstracts
Daricia Wilkinson, Kate Crawford, Hanna M. Wallach, Inioluwa Deborah Raji, Bogdana Rakova, Ranjit Singh, Angelika Strohmayer, Ethan Zuckerman
2022 — conf
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication.
FAccT
Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford
2021 — book
Atlas of AI: Power, Politics and the Planetary Costs of Artificial Intelligence.
Kate Crawford
2021 J jnl
Correction to: Excavating AI: the politics of images in machine learning training sets.
AI Soc.
Kate Crawford, Trevor Paglen
2021 J jnl
Datasheets for datasets.
Commun. ACM
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
2021 J jnl
Responsible computing during COVID-19 and beyond.
Commun. ACM
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
2021 J jnl
The Problem of Zombie Datasets: A Framework For Deprecating Datasets.
CoRR
Frances Corry, Hamsini Sridharan, Alexandra Sasha Luccioni, Mike Ananny, Jason Schultz, Kate Crawford
2020 J jnl
Overcoming Failures of Imagination in AI Infused System Development and Deployment.
CoRR
Margarita Boyarskaya, Alexandra Olteanu, Kate Crawford
2018 J jnl
Datasheets for Datasets.
CoRR
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
2018 J jnl
Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability.
New Media Soc.
Mike Ananny, Kate Crawford
2017 J jnl
Ten simple rules for responsible big data research.
PLoS Comput. Biol.
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
2016 J jnl
Departing glances: A sociotechnical account of 'leaving' Grindr.
New Media Soc.
Jed R. Brubaker, Mike Ananny, Kate Crawford
2016 J jnl
What is a flag for? Social media reporting tools and the vocabulary of complaint.
New Media Soc.
Kate Crawford, Tarleton Gillespie
2016 J jnl
Where are human subjects in Big Data research? The emerging ethics divide.
Big Data Soc.
Jacob Metcalf, Kate Crawford