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Interdisciplinary Learning through Libraries on Artificial Intelligence


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A poster presented by Bohyun Kim at the 2018 Code4Lib Conference, Washington D.C., Feb. 13-16, 2018.

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Interdisciplinary Learning through Libraries on Artificial Intelligence

  1. 1. INTERDISCIPLINARY LEARNING THROUGH LIBRARIES ON ARTIFICIAL INTELLIGENCE Bohyun Kim, University of Rhode island 2018 Code4Lib Conference, Washington D.C., Feb. 13-16, 2018. Goals for the AI Lab @ URI* • “Learning-by-doing” in three different AI Learning Zones: Beginner, Learning, and Advanced. • “Each zone provides opportunities where projects on robotics, natural language processing, smart cities, smart homes, the Internet of Things, and big data can be explored and designed; and will consist of guided tutorials, starting with beginner level.” • Affiliated Faculty will also develop new General Education courses in the Grand Challenge and Integrative categories around the AI Theme.** • Boosts the URI’s Big Data Initiative*** • Contribute to the RI State’s plan to develop a smart economy. * Lindsay McKenzie, “A New Home for AI: The Library,” Inside Higher Ed, January 17, 2018, de-island-hopes-putting-artificial-intelligence-lab-library- will-expand-ais-reach. ** “Guidelines for Submission of a Grand Challenge Course,” University of Rhode Island, accessed January 22, 2018, education/files/Grand_Challenge_Criteria.pdf *** “URI Hiring Faculty, Investing in High Performance Computing to Boost Research, Teaching with ‘Big Data,’” URI Today, March 3, 2016, high-performance-computing-to-boost-research-teaching- with-big-data/. Disciplines & Courses on Campus • Data science • Computer science • Engineering (Internet of Things, sensors, wearables, robots etc.) • Statistics • Oceanography • Digital Forensics • Philosophy AI’s Impact on Libraries • Boost the discovery relevancy? • Cross-language search? • Automated decision-making on collection development etc. … ? • Improved library UX through speech recognition, computer vision, digital assistants, personalized learning experience, and so on. • Intelligent machines will be the new consumer of the library’s information resources; They are likely to drive changes in the traditional library services and operation. • What does Information, Knowledge, Learning, Intelligence mean in the era of Big Data and Artificial Intelligence (AI)? AI Lab @ URI - Implementation in Progress • Promotion through the e-mail listserv and Meet-Up events • Purchase relevant ML software / hardware for the AI Lab • Identify relevant AI datasets* • Tutorials & Scenarios development for learning/teaching • Convene the interested faculty for brainstorming • Plan for ongoing support and continuing engagement • Foster more AI-related projects * Examples include “Datasets,” Kaggle, accessed January 22, 2018, ; ImageNet, ; “UCI Machine Learning Repository: Data Sets,” UCI Center for Machine Learning and Intelligent Systems, accessed January 22, 2018, Why Artificial Intelligence (AI) at a Library? • AI is a field of technology that closely connects with topics and concepts that libraries care a great deal and directly relate to. : Information / Knowledge / Learning / Intelligence • AI will have a far-reaching impact on our users. • Demystify AI and promote wider discussion. • Raise the awareness about AI developments and issues. • A Library is a crossroads for learning and teaching in many different disciplines; a central location on campus. • High student demand for AI-related learning opportunities at URI • Synergy with the makerspace & DataSpark at the URI libraries • Planned focus on learning & teaching activities • A hub for creative thinking, debates, and collaboration • Grant from the Champlin Foundation in Dec. 2017.* * “URI to Launch Artificial Intelligence Lab,” URI Today, December 20, 2017,