Welcome to a new episode of AI Chats, a podcast series produced by the law firm of Haynes Boone and lawyers from its AI and Deep Learning Practice Group to explore the exciting, ever-evolving, and occasionally controversial world of artificial intelligence. In today’s episode, we’re going to talk about what it takes to build AI applications. Moderator: <a href='https://www.haynesboone.com/people/b/blikshteyn-dina'>Dina Blikshteyn</a>, Counsel, Haynes Boone Speakers:<ul><li>Ryan Lewis, Data Science Senior Consultant, Aptitive</li><li>Shyam Shah,  Senior Data Consultant, Aptitive</li></ul>AI Chats a podcast produced by Haynes Boone. © 2024 Haynes and Boone, LLP All rights reserved.

AI Chats Episode 18 - Abstract Ideas, Reemergence of Mental Steps Doctrine, and Patent Eligibility for AI Inventions

Welcome to AI Chats, a podcast series by Haynes and Boone, LLP covering a broad range of technology and legal topics in artificial intelligence (“AI”) and deep learning. Renowned AI theorists and developers join Haynes and Boone lawyers to discuss the current and prospective uses of AI in a broad range of technology areas, including machine learning, healthcare, autonomous driving, cloud computing, natural language processing, and medical devices. We discuss novel legal issues presented by using AI in business operations, intellectual property portfolio development, privacy and data protection, and employment law, among other topics.