Kate Crawford, Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and the co-founder and co-director of the AI Now Institute, discusses the biases built into machine learning, and what that means for the social implications of AI.
About Speaker: Kate Crawford is a leading researcher and professor who has spent the last decade studying the social implications of data systems, machine learning, and artificial intelligence. She is a Senior Principal Researcher at MSR-NYC, the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris, and the Miegunyah Distinguished Visiting Fellow at the University of Melbourne. Kate is the co-founder of the AI Now Institute at New York University, the world’s first university institute 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.
About Series: You and AI Conversations about AI technologies and their implications for society. Artificial Intelligence (AI) is the science of making computer systems smart, and an umbrella term for a range of technologies that carry out functions that typically require intelligence in humans. AI technologies already support many everyday products and services, and the power and reach of these technologies are advancing at a pace.
The Royal Society is working to support an environment of careful stewardship of AI technologies, so that their benefits can be brought into being safely and rapidly, and shared across society. In support of this aim, the Society’s You and AI series brought together leading AI researchers to contribute to a public conversation about advances in AI and their implications for society.
