{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Oxford+","title":"Ethics & Innovation: The Social Media Ban, Sovereign AI, and the Race We Can't Stop","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bb0e0948\"></iframe>","width":"100%","height":180,"duration":2135,"description":"Can democracies capture the economic benefits of AI while protecting citizens from the unintended consequences?In this episode of Ethics and Innovation by Oxford+ brought to you by Equinox, host Susannah de Jager speaks with Lord Lionel Tarassenko, founding President of Reuben College and a pioneer of machine learning in safety-critical systems, about why the race to build ever more powerful models increasingly resembles an arms race. They explore whether the UK's long focus on ethical AI has become a competitive advantage, how Britain should position itself between the United States, Europe and China, and why sovereign AI and sovereign data assets matter for defending national values.The conversation lands at a pivotal moment. Days after the UK government announced a ban on social media use by under-16s modelled on Australia's, Lionel explains why he changed his mind and now sees a ban as the only real leverage over platforms that have resisted safety by design for a decade. From AI literacy in schools to the case for putting the AI Security Institute on a statutory footing, this is a clear-eyed look at governing a technology moving faster than policy.Lord Lionel Tarassenko: Lionel Tarassenko, Baron Tarassenko CBE FREng FMedSci, is the founding President of Reuben College, Oxford, Pro-Vice-Chancellor and Research Professor of Engineering Science at the University of Oxford. A world-leading expert in the application of signal processing and machine learning to healthcare, he was among the first to apply machine learning to real-world, safety-critical systems, from Rolls-Royce jet-engine health monitoring to NHS patient monitoring. The critical-care system he designed was the first machine learning system to gain FDA approval, in 2008. He founded four University spin-out companies, directed the Institute of Biomedical Engineering, and edited the 2019 Topol Review of NHS technology and the workforce. He was appointed a non-party-political life peer in 2024 and sits...","thumbnail_url":"https://img.transistorcdn.com/mcQDwOOa2HsFcbxXZ_fqasOIvG97EZG72pB0OPOXWEY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQ3MTA2LzE3MDA2/NTA0MTEtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}