AI systems can fail catastrophically and without warning, a characteristic not welcomed in the corporate environment. Martin will describe the unpredictable nature of artificial intelligence systems and how mastering a handful of engineering principles can mitigate the risk of failure. You’ll learn the kinds of errors artificial intelligence systems make, how to build systems that protect against common errors, and why evaluation can be much harder than it seems.

Martin Goodson is the chief scientist and CEO of Evolution AI, where he specializes in large-scale statistical computing and natural language processing. Martin has designed data science products that are in use at companies like Time Inc., Hearst, John Lewis, Condé Nast, and Buzzfeed. Previously, Martin worked as a statistician at the University of Oxford, where he conducted research on statistical matching problems for DNA sequences.