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Microsoft Research – Emerging Technology, Computer, and Software Research. Fielding AI solutions in the open world requires systems to grapple with incompleteness and uncertainty. Eric Horvitz addresses several promising areas of research in open world AI, including enhancing robustness via leveraging algorithmic portfolios, learning from experiences in rich simulation environments, harnessing approaches to transfer learning, and learning and personalization from small training sets. In addition, Eric will cover mechanisms for engaging people to identify and address uncertainties, failures, and blind spots in AI systems.