Ep. 316: Kyle Keane on AI, Forecasting and Turning Blind

Dr. Kyle Keane is a Senior Lecturer in Assistive Technologies at the University of Bristol, where he leads research at the intersection of artificial intelligence, human cognition and assistive technology design. With a background in quantum computing and computational physics, he applies the scientific rigor of a physicist to studying human perception and the engineer’s precision to designing technologies that translate complex information into interpretable, multi-sensory experiences. Previously, Kyle was a lecturer and research scientist at MIT. He has also worked for Wolfram|Alpha. In this podcast we discuss: 

• Early life, turning blind and MIT 
• Complex systems and forecasting 
• Understanding AI capabilities 
• Interpretability of AI 
• Statistical modelling and data issues 
• High-dimensional data and synthesis 
• Defining intelligence: human vs. AI capabilities 
• Intelligence as tested capabilities  
• Emergent phenomena in AI 
• Human complexity and having a body 

You can learn more about Kyle’s upcoming 14 July event here.  

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