Cutting Through the AI Noise: Practical Pathways for Academic Libraries
Sponsored by Springer Nature
Recorded on 06/11/2026Posted in Library Technology and IT
How are academic libraries approaching responsible AI adoption?
Access the presentation slides.
Resource List – Provided by Webinar Panelists and Attendees
Books, Journal Articles, and Reports
- ARL/CNI AI Scenarios: AI-Influenced Futures. Association of Research Libraries, Coalition for Networked Information, and Stratus Inc., June 2024.
- Estlund, Karen, and Cynthia Hudson Vitale. Strategic Implications of AI Futures for Research Libraries: Workshop Report. Association of Research Libraries and Coalition for Networked Information, March 2026.
- Gabriela Arriagada Bruneau. Los sesgos del algoritmo; la importancia de diseñar una inteligencia artificial ética e inclusiva. Santiago: Editorial Pollera, 2024.
- Karen Hao. Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI. 2026.
- Kari Weaver. The Artificial Intelligence Disclosure (AID) Framework: An Introduction. College & Research Libraries News, 85 (10), 2024.
Online Articles
- Adam Zewe. Explained: Generative AI’s environmental impact. MIT News, 2025.
- Andy Masley. A plug for a tool I made to show how little most current AI chatbots add to your emissions and water use, with citations. Andy Masley blog, 2026.
- Ezigbo, E., Martis B, S., Meyers, N., Purian, R., Su, Y., AI Bill of Rights Recommendations (Version 2.3). Research Data Alliance, 2024.
- G. Miller. AI in 800 Words. ARL Monitor. Spring 2026.
- Jerrad Bartczak and Stuart Block. How AI use impacts the environment and what you can do about it. World Economic Forum, 2025.
- Julio Friedmann and Colin McCormick. Understanding the carbon footprint of AI and how to reduce it. Carbon Direct, 2024.
- Karen Hao. Establishing an AI Code of Ethics Will Be Harder Than People Think. MIT Technology Review, 2018.
- Virgina Eubanks. Algorithms are making American inequality worse. MIT Technology Review, 2018.
- Virgina Eubanks. A Hippocratic Oath for Data Science. Virginia Eubanks, 2018.
- Yuan Yao. Can We Mitigate AI’s Environmental Impacts? Yale School of the Environment, 2024.
Webpages
- AI Approach and Principles – Springer Nature
- AI and Machine Learning – OCUL
- AI, Tech & Privacy Academy
- AIDV-WG Shared Citation Library
- AIDV-WG Shared Citation Library citation
- Generative AI and Higher Education – ITHAKA S+R
- OCUL’s AI Tools for Academic Libraries – LibTech Insights
- Open Forum for AI (OFAI)
Videos and Tools
- The AI Sandbox
- AIML Capacity Building Program – OCUL
- Artificial Intelligence Disclosure (AID) – Statement Builder
- CNI: Past Meetings. CNI: Coalition for Networked Information.
- Expanding Access to Historic Scanned Documents. GitHub.
- Keith Webster. Futurescape Libraries AI Toolkit. Association of Research Libraries. 2025.
- LM Studio
- From Scan to Discovery: Responsible AI and Open Source Strategies for Document and AV Access. CNI.
- University of Toronto Libraries Scoping Decision Tree for Paid AI-Powered Research Tools
Summary:
With all the talk around AI in libraries, it can be hard to separate real opportunities from the noise. How can academic libraries move forward in practical ways that align with their values and support their communities? Join Rob Hilliker (Springer Nature) in conversation with two librarians to discuss how libraries are approaching responsible AI adoption today. Natalie Meyers (ARL/CNI Researcher in Residence) and Kari Weaver (Ontario Council of University Libraries) will share concrete examples of building internal AI capacity, improving access and accessibility, and developing ethical guidance. Attendees will come away with practical ideas they can adapt using ARL/CNI Futurescapes in their own library contexts.
Speakers:
Natalie Meyers
AI Researcher in Residence at ARL/CNI and Research Specialist at the San Diego Supercomputer CenterKari Weaver
Program Director for AI & Machine LearningOntario Consortium of University Libraries (OCUL)Rob Hilliker
Director of Library RelationsSpringer Nature
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