Departing glances: A sociotechnical account of 'leaving' Grindr. - Jed R. Brubaker; Mike Ananny; Kate Crawford 002 (New Media Soc., 2016)

What is a flag for? Social media reporting tools and the vocabulary of complaint. - Kate Crawford 002; Tarleton Gillespie (New Media Soc., 2016)

Where are human subjects in Big Data research? The emerging ethics divide. - Jacob Metcalf; Kate Crawford 002 (Big Data Soc., 2016)

Ten simple rules for responsible big data research. - Matthew Zook; Solon Barocas; danah boyd; Kate Crawford 002; Emily Keller; Seeta Peña Gangadharan; Alyssa Goodman; Rachelle Hollander; Barbara König 002; Jacob Metcalf; Arvind Narayanan; Alondra Nelson; et al. (PLoS Comput. Biol., 2017)

Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. - Mike Ananny; Kate Crawford 002 (New Media Soc., 2018)

Overcoming Failures of Imagination in AI Infused System Development and Deployment. - Margarita Boyarskaya; Alexandra Olteanu; Kate Crawford 002 (CoRR, 2020)

Atlas of AI: Power, Politics and the Planetary Costs of Artificial Intelligence. - Kate Crawford 002 (Yale University Press, 2021)

Correction to: Excavating AI: the politics of images in machine learning training sets. - Kate Crawford 002; Trevor Paglen (AI Soc., 2021)

Responsible computing during COVID-19 and beyond. - Solon Barocas; Asia J. Biega; Margarita Boyarskaya; Kate Crawford 002; Hal Daumé III; Miroslav Dudík; Benjamin Fish; Mary L. Gray; Brent J. Hecht; Alexandra Olteanu; Forough Poursabzi-Sangdeh; Luke Stark; et al. (Commun. ACM, 2021)

Datasheets for datasets. - Timnit Gebru; Jamie Morgenstern; Briana Vecchione; Jennifer Wortman Vaughan; Hanna M. Wallach; Hal Daumé III; Kate Crawford 002 (Commun. ACM, 2021)

The Problem of Zombie Datasets: A Framework For Deprecating Datasets. - Frances Corry; Hamsini Sridharan; Alexandra Sasha Luccioni; Mike Ananny; Jason Schultz; Kate Crawford 002 (CoRR, 2021)

A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication. - Alexandra Sasha Luccioni; Frances Corry; Hamsini Sridharan; Mike Ananny; Jason Schultz; Kate Crawford 002 (FAccT, 2022)

Accountability in Algorithmic Systems: From Principles to Practice. - Daricia Wilkinson; Kate Crawford 002; Hanna M. Wallach; Deborah Raji; Bogdana Rakova; Ranjit Singh 001; Angelika Strohmayer; Ethan Zuckerman (CHI Extended Abstracts, 2023)

Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators. - Will Orr; Kate Crawford 002 (CoRR, 2024)

The social construction of datasets: On the practices, processes, and challenges of dataset creation for machine learning. - Will Orr; Kate Crawford 002 (New Media Soc., 2024)

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate. - Alexandra Sasha Luccioni; Emma Strubell; Kate Crawford 002 (FAccT, 2025)

A Critical Field Guide for Working with Machine Learning Datasets. - Sarah Ciston; Mike Ananny; Kate Crawford 002 (CoRR, 2025)

Generative AI and Creative Work: Narratives, Values, and Impacts. - Baptiste Caramiaux; Kate Crawford 002; Q. Vera Liao; Gonzalo Ramos 001; Jenny Williams (CoRR, 2025)