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Social Sciences and Humanities

D-Index
44
Citations
20319
World Ranking
3977
National Ranking
1888

Overview

Kate Crawford is a researcher primarily affiliated with Microsoft in the United States. Their scholarly work is situated within the broad field of Computer Science, with a significant focus on subfields such as Artificial Intelligence, Safety Research, Sociology and Political Science, Computer Vision and Pattern Recognition, and Endocrinology, Diabetes and Metabolism.

The main topics of their research encompass Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, Data Stream Mining Techniques, Privacy-Preserving Technologies in Data, Law, AI, and Intellectual Property, as well as Data Quality and Management.

Kate Crawford has published extensively in various academic venues. Frequent places for their publications include:

  • arXiv (Cornell University)
  • Communications of the ACM
  • AI & Society
  • Nature
  • Issues in Science and Technology

The researcher has contributed to several recent papers, including:

  • "Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence" (2022), published in Perspectives on Science and Christian Faith
  • "Datasheets for datasets" (2021), published in Communications of the ACM
  • "Enchanted Determinism: Power without Responsibility in Artificial Intelligence" (2020), published in Engaging Science Technology and Society
  • "Excavating AI: the politics of images in machine learning training sets" (2021), published in AI & Society
  • "Young people, social media, social network sites and sexual health communication in Australia: 'This is funny, you should watch it'" (2024), published in Repository@Nottingham (University of Nottingham)

Kate Crawford has published books through Yale University Press, including "Atlas of AI" (2021) and "The Atlas of AI" (2021).

Frequent collaborators in their research include Mike Ananny, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé, and Alexandra Sasha Luccioni.

Best Publications

  • CRITICAL QUESTIONS FOR BIG DATA

    danah boyd;Kate Crawford

  • Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability

    Mike Ananny;Kate Crawford

  • Datasheets for datasets

    Timnit Gebru;Jamie Morgenstern;Briana Vecchione;Jennifer Wortman Vaughan

  • Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms

    Kate Crawford;Jason M. Schultz

  • Following you: Disciplines of listening in social media

    Kate Crawford

  • What is a flag for? Social media reporting tools and the vocabulary of complaint

    Kate Crawford;Tarleton Gillespie

  • There is a blind spot in AI research

    Kate Crawford;Ryan Calo

  • Our metrics, ourselves: A hundred years of self-tracking from the weight scale to the wrist wearable device:

    Kate Crawford;Jessa Lingel;Tero Karppi

  • Six Provocations for Big Data

    Danah Boyd;Kate Crawford

  • #qldfloods and @QPSMedia: Crisis communication on Twitter in the 2011 South East Queensland floods - Research Report

    Axel Bruns;Jean Burgess;Kate Crawford;Frances Shaw

  • The Conservatism of Emoji: Work, Affect, and Communication

    Luke Stark;Kate Crawford;Kate Crawford

  • Where are Human Subjects in Big Data Research? The Emerging Ethics Divide

    Jacob Metcalf;Kate Crawford

  • Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice

    Rashida Richardson;Jason Schultz;Kate Crawford

  • Limitless Worker Surveillance

    Ifeoma Ajunwa;Kate Crawford;Jason Schultz

  • Sexting, consent and young people's ethics: Beyond Megan's Story

    Kath Albury;Kate Crawford

  • Ten simple rules for responsible big data research

    Matthew Zook;Solon Barocas;danah boyd;Kate Crawford;Kate Crawford

  • Big Data| Critiquing Big Data: Politics, Ethics, Epistemology | Special Section Introduction

    Kate Crawford;Mary L. Gray;Kate Miltner

  • Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics:

    Kate Crawford;Kate Crawford

  • Enchanted Determinism: Power without Responsibility in Artificial Intelligence

    Alexander Campolo;Kate Crawford

  • Departing glances: A sociotechnical account of ‘leaving’ Grindr

    Jed R Brubaker;Mike Ananny;Kate Crawford

  • The Hidden Biases in Big Data

    Kate Crawford

Frequent Co-Authors

Jean Burgess
Jean Burgess Queensland University of Technology
Axel Bruns
Axel Bruns Queensland University of Technology
danah boyd
danah boyd Microsoft (United States)
Alyssa A. Goodman
Alyssa A. Goodman Harvard-Smithsonian Center for Astrophysics
Matthew Zook
Matthew Zook University of Kentucky

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