ARTIFICIAL INTELLIGENCE: The Trouble with Bias
Kate Crawford is a 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, a Visiting Professor at the MIT Center for Civic Media, and an Honorary Professor at the University of New South Wales. In 2016, she co-chaired the Obama White House symposium on the social and economic implications of artificial intelligence. She is on the World Economic Forum Global Agenda Council on AI and Robotics, and she was recently awarded a Richard von Weizsaecker Fellowship. She is widely published in academic journals such as Nature, New Media & Society, and Information, Communication & Society, and she has written for The New York Times, Harper’s Magazine, and The Wall Street Journal. Her recent research publications address data discrimination and artificial intelligence, predictive analytics and due process, and algorithmic accountability. She is currently writing a new book for Yale University Press.