Location

213 Abromson Community Education Center

Event Website

https://usmdl.org/teaching-symposium/

Start Date

14-5-2025 11:10 AM

End Date

14-5-2025 12:00 PM

Description

Academic libraries stand at a pivotal juncture, grappling with the transformative potential of Artificial Intelligence. Our presentation will address the practical, ethical, and social implications caused by the integration of AI into the work of academic libraries. Ethical considerations are paramount. Algorithmic bias threatens equitable access, while privacy and data security demand robust safeguards. The rise of AI-generated content necessitates a reevaluation of academic integrity and copyright law. Practical challenges include data quality and system integration. AI implementation requires substantial investment and specialized expertise, necessitating staff upskilling and training. Socially, building user trust through transparent communication is crucial. Libraries must address the digital divide, ensuring equitable access and digital literacy. Organizational resistance to change requires proactive management.

This presentation will explore strategies for mitigating these challenges, emphasizing ethical frameworks, robust data governance, and user-centered design. We will discuss best practices for staff development, fostering a culture of innovation, and navigating the evolving legal landscape. By addressing these critical considerations, libraries can harness AI’s potential to enhance research, learning, and information access, while safeguarding core values.

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May 14th, 11:10 AM May 14th, 12:00 PM

Navigating the AI Frontier: Challenges and Opportunities for Academic Libraries

213 Abromson Community Education Center

Academic libraries stand at a pivotal juncture, grappling with the transformative potential of Artificial Intelligence. Our presentation will address the practical, ethical, and social implications caused by the integration of AI into the work of academic libraries. Ethical considerations are paramount. Algorithmic bias threatens equitable access, while privacy and data security demand robust safeguards. The rise of AI-generated content necessitates a reevaluation of academic integrity and copyright law. Practical challenges include data quality and system integration. AI implementation requires substantial investment and specialized expertise, necessitating staff upskilling and training. Socially, building user trust through transparent communication is crucial. Libraries must address the digital divide, ensuring equitable access and digital literacy. Organizational resistance to change requires proactive management.

This presentation will explore strategies for mitigating these challenges, emphasizing ethical frameworks, robust data governance, and user-centered design. We will discuss best practices for staff development, fostering a culture of innovation, and navigating the evolving legal landscape. By addressing these critical considerations, libraries can harness AI’s potential to enhance research, learning, and information access, while safeguarding core values.

https://digitalcommons.usm.maine.edu/usm-faculty-teaching-symposium/2025/full/1