This episode is a wide-ranging and deeply thoughtful discussion between Professor Yi-Zhe Song and host, Graeme Scott. It unpacks the accelerating pace and societal impact of artificial intelligence. The conversation explores AI’s influence on politics, law, education, and global power dynamics. Central to the episode is the theme of data sovereignty and AI democratization—ensuring users retain control over their data and how AI interacts with it. They delve into the ethical challenges surrounding foundation models, training data, and the need for private, personalized AI systems that empower rather than homogenize. Future-facing topics like agentic AI, multimodal systems, and AI’s potential to enhance human creativity and individuality round out a thought-provoking session aimed at both technologists and broader professional audiences.
Yi-Zhe Song is a Professor of Computer Vision and Machine Learning, at the Centre for Vision Speech and Signal Processing (CVSSP), one of the UK’s oldest and largest research centres on Artificial Intelligence.
He leads the SketchX Lab within CVSSP – a large research group of 3 academics, 2 postdocs, and 14 full-time PhD students. His vision for SketchX is understanding how seeing can be explained by drawing. In other words, how better understanding of human sketch data can be translated to insights of how human visual systems operate, and in turn how such insights can benefit computer vision and cognitive science at large.
He is an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), the world’s top-ranked journal in computer vision and machine learning in terms of impact factor (16.389), and a Programme Chair for British Machine Vision Conference (BMVC) 2021. He is also an Associate Editor of Frontiers in Computer Science – Computer Vision, and regularly serves as Area Chair (AC) for flagship computer vision and machine learning conferences, most recently as AC for CVPR’22, and ICCV’21.
He founded, and currently leads the MSc in AI programme at Surrey, having previously established an MSc in AI programme at Queen Mary University of London.
He is a Senior Member of IEEE, a Fellow of the Higher Education Academy (HEA), as well as full member of the EPSRC review college. He also reviews for other international funding bodies, such as Czech Science Foundation, and São Paulo Research Foundation of Brazil.”
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