Everything you need to know about protecting AI algorithms with IP


When considering Intellectual property rights typically you think of patents, trademarks and the like. But what about the IP architected into your algorithms and AI decision pipelines? Beau Walker, a Data Scientist with a degree in Intellectual Property Law, has explored this concept his entire career. Together with Ben Taylor, PHD, they will summarize the basics and deep dive into the key factors you need to know to protect the IP inherent in your AI.


Ben Taylor is a leading thought leader around AI with over 16 years of machine learning experience. After studying chemical engineering, Taylor joined Intel and Micron and worked in their photolithography, process control, and yield prediction groups. Pursuing his love for high-performance computing (HPC) and predictive modeling, Taylor joined an artificial intelligence hedge fund (AIQ) as their HPC/AI expert and built out models using a 600 GPU cluster to predict stock movements based on the news. Taylor then joined a young HR startup called HireVue. Taylor built out their data science group, filed 7 patents, and helped to launch HireVue's AI insights product using video/audio from candidate interviews. That work allowed Taylor's team of PhD physicists to help pioneer anti-bias mitigation strategies for AI. In 2017 Taylor co-founded Zeff.ai with David Gonzalez to pursue deep learning for image, audio, video, and text for the enterprise