AI techniques have been affecting people’s experiences with digital services, applications, interactions, and interfaces for a long while now, but without muchengagement with or input from interaction designers and HCI researchers.Over the past two years, as part of the AAAI Symposia series (2017–2018) [1],we have organized a gathering of researchers and practitioners from variousdisciplines to discuss the UX of AI & ML—the user experience of artificialintelligence and machine learning. Our main interest in organizing these events wasto discuss the HCI and design-practice implications of the current fascination withand adoption of artificial intelligence and machine learning in user-facing products.@en

The Association for the Advancement of Artifcial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2018 Spring Symposium Series, held March 26-28, 2018, on the campus of Stanford University. The seven symposia held were AI and Society: Ethics, Safety, and Trustworthiness in Intelligent Agents; Artifcial Intelligence for the Internet of Everything; Beyond Machine Intelligence: Understanding Cognitive Bias and Humanity for WellBeing AI; Data-Effcient Reinforcement Learning; The Design of the User Experience for Artifcial Intelligence (the UX of AI); Integrated Representation, Reasoning, Learning, and Execution for Goal-Directed Autonomy; Learning, Inference, and Control of Multiagent Systems. This report, compiled from organizers of the symposia, summarizes the research of the symposia that took place.

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