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ID: 395 / [Single Presentation of ID 395]: 1 Panels 90 minutes Confirmation 1: I/we acknowledge that all session authors/presenters have read and agreed to the ASIS&T Annual Meeting Policies Topics: Artificial Intelligence (machine learning; text mining; natural language processing; deep learning; value-sensitive AI design; transparent and explainable AI) Keywords: Artificial Intelligence, Global AI, AI Ethics, AI in libraries, AI Education
Global AI Initiatives: From Theory to Practice
Vandana Singh1, Dania Bilal1, Andrew Cox2, George Hope Chidziwisano3, Jesse Dinneen4
1University of Tennessee-Knoxville, USA; 2University of Sheffield, UK; 3Carnegie Mellon University, USA; 4Humboldt-Universität zu Berlin, Germany
Information Sciences is deeply invested in improving the future of AI across the globe. Information science researchers are providing a critical voice in the growth of AI by bringing in perspectives related to AI Ethics, diversity, equity, and inclusion, and AI education for all. AI is seeping into everyday life and is often a source of concern for people whose lives are impacted. The concerns of losing employment, inequitable access, and biases create a fear of AI among people. Library and information science educators and researchers have a rich history of working with local communities and representing local contexts. This experience places us in an important position to understand and evaluate AI applications and their varied impact in different contexts; for example, the same library-related AI application would have different results in Europe versus Africa. However, AI and its applications in the global context are yet to be discussed and understood in the information science community.
