MIOIR Seminar: Machine learning, social learning and responsible innovation for self-driving cars
|Starts:||12:00 24 Apr 2018|
|Ends:||13:30 24 Apr 2018|
|What is it:||Seminar|
|Organiser:||Manchester Institute of Innovation Research|
|Who is it for:||University staff, Adults, Alumni, Current University students, General public|
Self-driving cars, a quintessentially ‘smart’ technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as well as a test case for social learning in technology governance. Starting with the successes and failures of social learning around a much-publicized fatal Tesla Model S crash in 2016, Dr Stilgoe argues that trajectories and rhetorics of machine learning in transport pose a substantial governance challenge. Governing these technologies in the public interest means improving social learning by constructively engaging with the contingencies of machine learning.
Jack Stilgoe is senior lecturer in Science and Technology Studies at University College London, where he works on science and innovation policy, with a particular interest in emerging technologies. His recent research has been on the governance of machine learning and self-driving cars. He was previously at the Royal Society and the London think tank Demos.
The Manchester Institute of Innovation Research runs a series of regular seminars given by visiting speakers to Manchester. These seminars are open to anybody who is interested in science, technology and innovation policy and management.
Tea and coffee will be available from midday, with the seminar starting at 12.30.
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