Kate Crawford is a leading expert on the complex social impacts of large-scale data, machine learning and AI. Her research has addressed issues like the cultural politics of big data, ethics and AI, and mechanisms for due process within networked systems. She is a Principal Researcher at Microsoft Research New York City, a Visiting Professor at MIT’s Center for Civic Media, and a Senior Fellow at NYU’s Information Law Institute. Her research addresses the social implications of large scale data, machine learning and AI. Recent publications address the topics of data discrimination, social impacts of artificial intelligence, predictive analytics and due process, ethical review for data science, and algorithmic accountability.
She recently co-chaired the White House symposium AI Now: The Social and Economic Implication of AI in the Near-Term, addressing artificial intelligence across four domains: labor, health, social inequality and ethics.
Kate is a member of the World Economic Forum’s Global Agenda Council on AI and Robotics, as well as the UN Thematic Network on Data for Development. She is co-PI of the NSF-funded Council for Big Data, Ethics, and Society, and she is on the editorial boards of several journals including Big Data & Society, Social Media & Society, and Fibreculture. For her work on big data and ethics, Kate was named a Rockefeller Foundation Bellagio fellow in 2013.
Apart from the academic stuff, she has also written for The Atlantic, The New York Times and The New Inquiry. Kate is a founding member of the feminist art and technology collective Deep Lab.