Machine Learning and the Future of Work

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at Cambridge Centre for Science and Policy on May 27, 2016 [pdf]
Neil D. Lawrence, University of Sheffield

Abstract

Machine learning technologies have evolved to the extent that they are now considered the principle underlying technology for our advances in artificial intelligence. Artificial intelligence is an emotive term, given the implications for replacing qualities that humans consider specific to ourselves. As always new technology has a significant disruptive effect on existing markets, jobs and economies. In this talk we’ll explore where the advances are coming from and speculate about how our machine learning future is likely to pan out with a particular focus on work.

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