Join Ryan Long for his new podcast series: AI Keyhole: Evolution, Applications & Policy The history, math, and legal side behind AI in today’s world, for non-AI practitioners and AI enthusiasts alike.
The series seeks to explore such questions as: What is artificial intelligence? Where did it come from? What are some of its innovative applications today, and how can the law deal with regulating this technological genie?
During this series, Ryan E. Long will be discussing these issues with experts in their respective fields.
Ryan is a Stanford Law School Center for Internet Society non-residential fellow. He has written about, or presented on, AI applications and policy for AI Business, Cognitive Times, and the London School of Economics Business Review, among others. He has over 21 years of experience solving tricky intellectual property related issues, including digital privacy and circumvention (a.k.a. “hacking”), for pioneering domestic and international tech and media clients.
The AI Accelerator Institute’s mission is to help develop the next generation of machine intelligence specifically focusing on accelerating AI at the edge. For new and groundbreaking start-ups and for those giants in the space, AIAI wants to provide the tools needed to innovate and continue to propel growth.
The first three episodes are now live with fascinating contributions and insights from Ryan’s guest speakers at https://www.aiacceleratorinstitute.com/ai-keyhole-podcast/
S01 E01 - Origination & Development of AI | Professor Wooldridge
Professor Michael Wooldridge, of the Department of Computer Science at the University of Oxford, answers these questions and more. Among other things, he provides some insights into some of the shortcomings of AI, as compared to naturally occurring intelligence, and why they exist.
S01 E02 - Mathematics of AI: Applications | Professor Christian Igel
Professor Christian Igel, of the Department of Computer Science at the University of Copenhagen, provides insight into these issues. He also discusses types of learning in machine learning and an explanation of pattern finding.
S01 E03 - AI, Finance, and Fintech | Daniel Wu
Mr. Daniel Wu of JP Morgan & Chase is the guest for this session. Among other things, he provides some insights into types of fintech, commercial banking applications of fintech, and AI applications in finance.
