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This paper offers an overview of the highlights of the NFAIS Conference, Artificial Intelligence: Finding Its Place in Research, Discovery, and Scholarly Publishing, that was held in Alexandria, VA from May 15–16, 2019. The goal of this conference was to explore the application and implication of Artificial Intelligence (AI) across all sectors of scholarship. Topics covered were, among others: the amount of data, computing power, and the technical infrastructure required for AI and Machine Learning (ML) processes; the challenges to building effective AI and ML models; how publishers are using AI and ML in order to improve discovery and the overall user search experience; what libraries and universities are doing to foster an awareness of AI in higher education; and an actual case study of using AI and ML in the development of a recommendation engine. There was something for everyone.
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Bonnie Lawlor (2019) studied this question.
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