Explainable ML has been one of the hottest topics in the ML community over the years. There are countless articles on methods and techniques that could be used to enable explainability. How are these techniques actually used in deployed systems? What are the gaps between existing techniques and the needs of production systems? Join us for two fantastic talks that bring forward extensive research conducted by Partnership on AI and University of Cambridge on Explainable ML's reality & roadmap.
