Edited and Mixed by Jessica Crowell, with special thanks.
John and Stephanie discuss Deep Learning and AI. They try to map out their definitions of machine learning, deep learning, and AI. John discusses his concern with AI and reproducibility, referencing his blog post https://hopstat.wordpress.com/2020/02/04/the-way-people-use-ai-is-ruining-reproducible-science-again/. They reference Geoff Hinton's prediction about Radiology: https://www.youtube.com/watch?v=2HMPRXstSvQ.
We also discuss the Anil Potti Duke reproducibility case briefly: https://www.economist.com/science-and-technology/2011/09/10/an-array-of-errors
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