Abstract
Volume 14, Issue 1 of the School of Information Student Research Journal explores the multifaceted impacts of artificial intelligence (AI) on academia, particularly within library and information science (LIS) education and scholarly publishing. Highlighting the proactive measures taken by San Jose State University's iSchool, this issue underscores the necessity of integrating AI competencies, such as data privacy and ethical AI use, into curricula. Through detailed case studies and policy reviews, the issue examines the ethical and societal implications of AI, including biases and inequalities, advocating for adaptive and responsible AI integration.
Odin Halvorson's paper emphasizes the transformative potential of Large Language Models (LLMs) and how revised curriculum and updated policies can address AI's impact, and ensure equitable access and ethical use of AI technologies.
Marc Hoffeditz's editorial delves into the Student Research Journal's development of its AI disclosure policy, offering a comprehensive literature review and practical guidelines for other scholarly journals to navigate the challenges posed by AI.
Souvick 'Vic' Ghosh and Denise McCoy's article evaluates the evolution of SJSU iSchool's Master of Library and Information Science (MLIS) program, proposing updates to core competencies to incorporate advancements in AI, ensuring graduates are prepared for an AI-integrated future.
Madelaine Russell's book review of Christine Pawley's "Organizing Women: Home, Work, and the Institutional Infrastructure of Print in Twentieth-Century America" provides a historical perspective on women's roles in print culture, highlighting the intersections of gender, race, and information access.
This issue provides valuable insights into the ongoing integration of AI in LIS education and scholarly publishing, emphasizing the importance of ethical considerations, policy development, and curricular advancements to foster a future-ready academic landscape.
Recommended Citation
"Article Citations Within."
Recommended Citation
"Article Citations Within."
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Archival Science Commons, Cataloging and Metadata Commons, Collection Development and Management Commons, Information Literacy Commons, Museum Studies Commons, Scholarly Communication Commons, Scholarly Publishing Commons
