Kate Crawford is a leading researcher, professor and author who has spent the last decade studying the social implications of data systems, machine learning and artificial intelligence. She is the co-director of the AI Now Institute at NYU, which she founded with Meredith Whittaker, and it is the first university institute in the US dedicated to researching the social implications of artificial intelligence and related technologies.
Her academic research has been published in journals such as Nature, New Media & Society, Science, Technology & Human Values and Information, Communication & Society. Beyond the academic side, Kate has also written for The New York Times, The Atlantic, Harpers’ Magazine, among others.
You can get in touch by emailing ea [at] ainowinstitute [dot] org. For press, please contact press [at] ainowinstitute [dot] org. There's also @katecrawford on Twitter. If you're so inclined, here's a PGP Key.
What does it really take to make Alexa tell you the weather? This collaborative essay and exploded diagram of a single Amazon Echo shows the deep networks required to build AI at scale.
Kate spoke at the Royal Society as part of their prestigious series featuring leaders in AI. Watch her talk here: "Just an Engineer: The Politics of AI."
Kate talks to Technology Review's Karen Hao about the AI Now Institute's new paper on predictive policing.
Kate spoke to 7,000 people at NIPS about machine learning and bias, the differences between representational and allocative bias, and the deeper issues with classification.