Michael Osborne is a Professor of Machine Learning at the University of Oxford and co-founder of Mind Foundry, an AI company focused on high-stakes applications. His expertise in artificial intelligence and its implications for the future of work makes him a significant voice in the field. Michael's research has profoundly influenced how we understand the economic and social impacts of AI, with his methodologies being utilized by policymakers globally, including in the UK and the US.
Michael's academic journey began with a BEng in Mechanical Engineering and a BSc in Pure Mathematics and Physics from the University of Western Australia, followed by a PhD in Machine Learning from the University of Oxford. His career has been marked by a commitment to exploring the practical applications of machine learning, particularly in areas such as automation and societal needs. He co-authored a pivotal paper that estimated 47% of US jobs are at risk of automation, a study that has garnered over 15,000 citations and significant media attention.
As a co-director of the Oxford Martin Programme on Technology and Employment, Michael has contributed to ongoing discussions about the future of work, presenting evidence to the UK House of Commons on the governance of AI. His work has not only received extensive academic recognition, with over 24,000 citations, but has also led to practical advancements in various industries, including quantum computing and battery modelling.
In addition to his academic roles, Michael is an advocate for responsible AI deployment, emphasizing the importance of augmenting human intelligence rather than replacing it. His leadership at Mind Foundry, which has raised $44 million and grown to over 100 employees, reflects his dedication to harnessing AI for positive societal impact.