Oct 24, 2016
Lopata Hall, Room 101
Technology at Work: The Future of Employment
Michael A. Osborne
Dyson Associate Professor in Machine Learning
University of Oxford
Robots and computers are inexorably developing the skills to work in ways once considered quintessentially human. Think about self-driving cars, or Amazon's product recommendations, or Google Translate. The real question is not whether these technologies will have employment implications, but rather: how much, and to whom. We provide some answers to these questions, using machine learning techniques to analyze data from both the US and UK. In particular, we find that 47% of current US employment is at high risk of computerization by 2030.
Michael A. Osborne (DPhil Oxon) works to develop machine intelligence in sympathy with societal needs. His work in machine learning has been successfully applied in diverse contexts, from aiding the detection of planets in distant solar systems to enabling self-driving cars to determine when their maps may have changed due to roadworks. Dr. Osborne also has deep interests in the broader societal consequences of machine learning and robotics, and has analyzed how intelligent algorithms might soon substitute for human workers.
Dr. Osborne is the Dyson Associate Professor in Machine Learning, a co-director of the Oxford Martin program on Technology and Employment, an Official Fellow of Exeter College, and a Faculty Member of the Oxford-Man Institute for Quantitative Finance, all at the University of Oxford.