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2021 Annual Meeting Session | AI and Library Discovery

This presentation explores the real-life application of AI-driven discovery in two settings—healthcare and a university library. It will describe an innovative project to explore the potential of artificial intelligence to improve knowledge discovery in a library services context. It brings to life the voices of real users— students, researchers, clinicians and academics as they describe the "problems" they need to solve in a context of resource discovery. It tests assumptions about the potential benefits or "value propositions" of AI in discovery, against real world user issues and suggests the areas where an AI worked best and where it was less successful. Libraries looking to understand how AI might improve discovery will benefit greatly from this real life practical project with its emphasis on the user experience. || Speakers: Ken Chad, Katie Fraser, Robert McDonald
SSP Annual Meeting Session Learning Level
Foundational
Publication Date
05/27/2021
Keyword
Discovery, AI, Innovation, User_experience, Technology
Without dwelling on the tumultuous events of the past year, our 43rd Annual Meeting aimed to recognize their impact, igniting—and sometimes forcing—innovation to meet changing demands. We explored the many new paths that materialize if we are willing to embrace the unexpected. What new insights and strategies have been discovered and implemented? What are the possibilities that have yet to be realized? As we move from reacting to adapting, how will our responses change the future of scholarly communications? And how should our responsibility to the larger academic ecosystem during this extraordinary time shape those responses? If you missed the SSP Annual Meeting, you can purchase individual keynote, plenary, and educational sessions on demand in the SSP OnDemand Video Content Library. You can also purchase an All Access Pass to the content on the Pathable platform through November 1.