Stay ConnectedSeason Four: Brain and Mental Health
Season Three: The History of Pandemics
Season Two: Climate Change
Season One: Artificial Intelligence
Special Episode: A brief history of Quantum Computing
Copyright: © University of Oxford
In the penultimate episode of series one, we’re looking at the development of AI across the globe. China has set itself the challenge of being the world’s primary innovation centre by 2030, a move forecast to generate a 26% boost in GDP from AI related benefits alone, and some claim they’re already leading the way in many areas. But how realistic is this aim when compared to AI research and development across the world? And if China could dominate this field, what are the best, and worse, case scenarios for both it, AI technology, and the rest of the planet?
Join our host, philosopher Peter Millican, as he explores this topic with Mike Wooldridge, Head of Oxford’s Department of Computer Science; Xiaorong Ding, a post-doctoral researcher who’s studied and worked several of China’s leading universities and companies; and Sophie-Charlotte Fischer, a visiting researcher at the Future of Humanity Institute, and a PhD Candidate whose dissertation project focusses on the development of AI in China and the US.
Around the world, automated bot accounts have enabled some government agencies and political parties to exploit online platforms in dispersing messages, using keywords to game algorithms, and discrediting legitimate information on a mass scale. Through this they can spread junk news and disinformation; exercise censorship and control; and undermine trust in the media, public institutions and science. But is this form of propaganda really new? If so, what effect is it having on society? And is the worst yet to come as AI develops?
Join our host, philosopher Peter Millican, as he explores this topic with Rasmus Nielsen, Director of Oxford’s Reuters Institute for the Study of Journalism; Vidya Narayanan, post-doctoral researcher in Oxford’s Computational Propaganda Project; and Mimie Liotsiou, also a post-doctoral researcher on the Computational Propaganda project who works on online social influence.
Many developments in science are achieved through people being able to ‘stand on the shoulders of giants’ and in the history of AI two giants in particular stand out. Ada Lovelace, who inspired visions of computer creativity, and Alan Turing, who conceived machines which could do anything a human could do. So where do their stories, along with those of calculating engines, punched card machines and cybernetics fit into to where artificial intelligence is today?
Join our host, philosopher Peter Millican, as he explores this topic with Ursula Martin, Professor at the University of Edinburgh and a member of Oxford's Mathematical Institute, Andrew Hodges, Emeritus Fellow at Wadham, who tutors for a wide range of courses in pure and applied mathematics, and Jacob Ward, a historian of science, technology, and modern Britain and a Postdoctoral Researcher in the History of Computing.
As chatbots and virtual assistants become an ever-present part of our world, and algorithms increasingly support decision-making, people working in this field are asking questions about the bias and balance of power in AI. With the make-up of teams designing technology still far from diverse, is this being reflected in how we humanise technology? Who are the people behind the design of algorithms and are they re-enforcing society’s prejudices through the systems they create?
Join our host, philosopher Peter Millican, as he explores this topic with Gina Neff, Senior Research Fellow and Associate Professor at the Oxford Internet Institute, Carissa Véliz, a Research Fellow at the Uehiro Centre for Practical Ethics and the Wellcome Centre for Ethics and Humanities, and Siân Brooke, a DPhil student at the Oxford Internet Institute focussed on construction of gendered identity on the pseudonymous web.
With AI algorithms now able to mine enormous databases and assimilate information far quicker than humans can, we’re able to spot subtle effects in health data that could otherwise have been easily overlooked. So how are these tools being developed and used? What does this mean for medical professionals and patients? And how do we decide whether these algorithms are making things better or worse?
Join our host, philosopher Peter Millican, as he explores this topic with Alison Noble, Technikos Professor of Biomedical Engineering in the Department of Engineering Science, Paul Leeson, Professor of Cardiovascular Medicine at the University of Oxford, and a Consultant Cardiologist at the John Radcliffe Hospital, and Jessica Morley, a Technology Advisor to the Department of Health, leading on policy relating to the Prime Minister's Artificial Intelligence Mission.
AI is already playing a role in the finance sector, from fraud detection, to algorithmic trading, to customer service, and many within the industry believe this role will develop rapidly within the next few years. So what does this mean for both the people that work in this sector, and for the role banking and finance plays in society?
Join our host, philosopher Peter Millican, as he explores this topic with Professor Stephen Roberts, Royal Academy of Engineering and Man Group Professor of Machine Learning, Professor Nir Vulkan, a leading authority on e-commerce and market design, and on applied research and teaching on hedge funds, and Jannes Klaas, author of 'Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics'.
Our lives are increasingly shaped by automated decision-making algorithms, but do those have in-built biases? If so, do we need to tackle these, and what could happen if we don’t?
Join our host, philosopher Peter Millican, as he explores this topic with Dr Sandra Wachter, a lawyer and Research Fellow at the Oxford Internet Institute, Dr Helena Webb a Senior Researcher in the Department of Computer Science, and Dr Brent Mittelstadt, a philosopher also based at the Oxford Internet Institute.
In 2013 two Oxford academics published a paper entitled “The Future of Employment: How Susceptible Are Jobs to Computerisation?”, estimating that 47% of U.S. jobs were at risk of automation. Since then, numerous studies have emerged, arriving at very different conclusions. So where do these estimates diverge, and where do we think the automation of jobs might be heading?
Join our host, philosopher Peter Millican, as he explores this topic with one of the authors of that paper, Professor Mike Osborne, Dr Judy Stephenson, an expert on labour markets in pre-industrial England, and Professor David Clifton from our Department of Engineering Science.
Down winding streets, beyond the dreaming spires, inside the college walls, debates are happening - in every study room and lecture theatre - about the future of society.
Futuremakers, from the University of Oxford, invites you to that debate. Join your host, philosopher Peter Millican, and three experts as we discuss the movements that are shaping the future of our society.
Our first series is all about Artificial Intelligence, and we’ll explore topics from the inherent bias of algorithms to the future automation of jobs. That’s Futuremakers – available to download now.
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