Kate Crawford is leading researcher, academic and author who has spent the last decade studying the social implications of data systems, machine learning and artificial intelligence. She is a Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and a Visiting Professor at the MIT Media Lab. Her recent publications address data bias and fairness, social impacts of artificial intelligence, predictive analytics and due process, and algorithmic accountability and transparency.
Kate is the co-founder and co-director of the AI Now Research Institute, along with Meredith Whittaker: a new interdisciplinary research center dedicated to studying the social impacts of artificial intelligence. In July 2016, she co-chaired the Obama White House symposium on the impacts of AI in the near term. The symposium addressed artificial intelligence across four domains: labor, health, social inequality and ethics.
Her academic research has been published in highly ranked journals such as Nature, New Media & Society, Science, Technology & Human Values and Information, Communication & Society. Apart from the academic stuff, Kate has also written for The New York Times, The Atlantic, Harpers’ Magazine, and New Inquiry, among others.
Kate's New York Times piece on artificial intelligence, bias and the need for diversity
Article in Nature by Kate Crawford and Ryan Calo argues that fears about the future impacts of artificial intelligence are distracting researchers from the real risks of deployed systems.
A selection of videos from AI Now events in 2016 and 2017.