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AI IS NOT WHAT YOU THINK: Everyday Life and the Digital Revolution

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Bradley Forum

UniSA City West Campus

55 North Terrace

Adelaide, SA 5000

Australia

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In this provocative lecture, Cambridge-trained sociologist Professor Anthony Elliott argues that much of what passes for conventional wisdom about the AI Revolution is either ill-considered or plain wrong. The reason? AI is not so much about the future, but is rather a revolution already well underway – albeit one which is unfolding in complex and uneven ways across the globe.

From industrial robots to chatbots, and from driverless cars to military drones – AI, Elliott argues, is transforming all aspects of our lives, from the most intimate aspects of personal relationships to the changing nature of work, employment and unemployment.


This event forms part of the program for Social Science Week 2019, with support from the following partners




Presenter Biographies


Anthony Elliott is Dean of External Engagement at the University of South Australia, where he is Executive Director of the Hawke EU Jean Monnet Centre of Excellence and Network, and Research Professor of Sociology. He holds a BA Honours degree from the University of Melbourne and a PhD from Cambridge University, where he was supervised by Lord Anthony Giddens, architect of Third Way progressive politics. Professor Elliott holds various international research fellowships and professorships, and is currently Visiting Global Professor of Sociology in the Graduate School of Human Relations, Keio University, Japan and Visiting Professor of Sociology at University College Dublin, Ireland. Professor Elliott is a Fellow of the Academy of the Social Sciences in Australia, a Fellow of the Cambridge Commonwealth Trust, and a member of King’s College, Cambridge.

In 2017 he was awarded a grant from the Toyota Foundation, and an Australian Research Council Major Grant for research on Industry 4.0. In 2018 Professor Elliott was awarded an EU Erasmus+ Jean Monnet Centre of Excellence and an EU Erasmus+ Jean Monnet Network for research on driverless vehicles with colleagues from Germany, Denmark, Estonia, Japan, New Zealand and Australia. Professor Elliott was appointed to the “Deployment of artificial intelligence and what it presents for Australia” Expert Working Group, Australian Council of Learned Academies (ACOLA)(2018-2019). The Expert Working Group was commissioned by the Chief Scientist of Australia, Dr Alan Finkel, at the request of the Prime Minister’s Commonwealth Science Council, and with support from the Australian Research Council (ARC), the Department of Prime Minister and Cabinet, and the Department of Industry, Innovation and Science. In 2017 he was a member of ACOLA’s Artificial Intelligence Scoping Project Committee, Academy of Science and the Academy of Technology and Engineering.

Professor Elliott is a prominent social theorist, sociologist and public intellectual. He is the author and editor of over 40 books, which have been translated or are forthcoming in seventeen languages. His most recent book is The Culture of AI (2019).

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Mike Innes is Adjunct Professor at the Hawke EU Jean Monnet Centre of Excellence at the University of South Australia and Fellow of the Academy of Social Sciences in Australia. He is internationally renowned for his research into psychological approaches to the changing relations between society, science and technology. Since the 1970’s Professor Innes has been making significant contributions to international research and scholarship on attitude change, organisational leadership and change management, the dissemination of innovations in groups and organisations, and the health and behavioural effects of stress arising from emergencies and social change. His current research is pioneering the incorporation of psychological approaches into the social scientific study of science and technology, with a particular focus on the implications of automation, robots and artificial intelligence for the professions.

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Bradley Forum

UniSA City West Campus

55 North Terrace

Adelaide, SA 5000

Australia

View Map

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