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Once we believed that the world around us behaved according to the laws of classical mechanics, and it took us hundreds of years to work out that actually something else was going on. Quantum computing offers what we believe to be the best way to process information based on the laws of physics as we now know them. But how did we discover that quantum mechanics could offer such developments in computing? And why did this realm remain hidden for so long?
For this special episode of Futuremakers, Peter Millican, Professor of Philosophy, set out to discover the truth about a global race to develop the world’s first scalable quantum computer. He met a diverse range of researchers, who gave him their thoughts on the powerful next realm of computation their work opens up, via the fundamental building blocks, to the ultimate goal of a truly universal quantum computer. Keep listening to find out why there's a race to create this technology, if Oxford's researchers believe we'll ever achieve our goal, and what it could mean for society if we did.
In the final episode of our series, we’re looking back at the themes we’ve discussed so far, and forward into the likely development of AI. Professor Peter Millican will be joined by Professor Gil McVean, to further investigate how big data is transforming healthcare, by Dr Sandra Wachter, to discuss her recent work on the need for a legal framework around AI, and also by Professor Sir Nigel Shadbolt on where the field of artificial intelligence research has come from, and where it’s going. To conclude, Peter will be sharing some of his views on where humanity is heading with AI, when you’ll also hear from his final guest, Azeem Azhar, host of the Exponential View podcast.
Futuremakers will be taking a short break now, but we’ll be back with series two in the new year, when we’ll be taking on another of society’s grand challenges: building a sustainable future. Before then we’ll also be publishing a special one-off episode on Quantum Computing and the global opportunities, and risks, it could present.
To read more about some of the key themes in this episode, you can find Sandra Wachter’s recent papers below.
A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3248829
Explaining Explanations in AI: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3278331
Counterfactual explanations without opening the black box: automated decisions and the GDPR: https://jolt.law.harvard.edu/assets/articlePDFs/v31/Counterfactual-Explanations-without-Opening-the-Black-Box-Sandra-Wachter-et-al.pdf
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