John Kaufhold on the History of Image Recognition and Deep Learning

On today's episode of Virtual Sentiments, host Kristen Collins interviews John Kaufhold on the history of image recognition and deep learning. With over 30 years of experience in the artificial intelligence and machine learning world, John shares his history starting from his early days in speech recognition in the 90s. He covers the ImageNet Big Bang in 2012, the dramatic improvement of image recognition error rates and hardware power, neural networks, the development of chatbots, terminology, and discusses challenges such as data privacy, bias reproduction, existential risk, transparency in data sets, and more!

Dr. John Kaufhold is an expert with over 30 years of experience in artificial intelligence and deep learning. He is the founder of Deep Learning Analytics, a machine learning company, and serves on the Advisory Board of the DC Data Community.

References and related works to this episode: "Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCun" and Data Science DC's "How Attention in 2017 got us Chat GPT."

About Virtual Sentiments

Virtual Sentiments is a new podcast from the Hayek Program in which Kristen Collins interviews scholars and practitioners grappling with pressing problems in political economy with an eye to the past.