An exploration of the dark world of psychopathy and a look at DeepMind’s recent protein-folding breakthrough kick off season two of The Turing Podcast – The Alan Turing Institute’s podcast on all things AI and data science.
In episode one, we speak to Alexander Tokarev, a recent PhD graduate from the University of Manchester, about his work in the field of psychometrics – the measurement of psychological traits. Using statistical models, he has found that, in workplaces where managers score higher on psychopathy, employees are more likely to experience bullying and depression – work which could help psychologists to intervene before the damage is done. He also discusses whether machine learning could – and should – be able to automatically detect psychological traits from video footage.
In episode two, we focus on the recent breakthrough by scientists at Google’s DeepMind, who have trained an AI system to crack a 50-year-old problem: using a protein’s DNA sequence to accurately predict how it will ‘fold’ into its three-dimensional structure. We asked Tim Hubbard, protein expert and Head of the Department of Medical & Molecular Genetics at King’s College London, what the result means for the future of medicine.
Also coming up in season two, we'll be looking at the potential of AI to tackle misinformation on social media, monitor solar energy generation around the UK, and help citizens to connect with their local government via ‘direct democracy’ platforms online.
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