The latest post in our AI Tools for Academic Libraries blog series highlights some of the open-weight AI models that can be alternatives to the familiar commercial frontier tools like ChatGPT or Claude that often raise concerns about privacy, transparency, and equity. For libraries, open-weight models provide greater control over data and AI environments for better alignment with professional commitments to intellectual freedom and access to information.
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Curious how Microsoft Copilot can support the development of students’ essential research, critical thinking, and scholarly communication skills? Join the Oct. 7 OCUL AI Exchange to learn how AI can be used as a tool for critical evaluation rather than a replacement for undergraduate research and writing processes.
The September installment of OCUL’s Beyond the Algorithm Reading Club explores trust and AI. Read the month’s curated article, watch a conversation with AI expert Dr. Jessie Hall, and sign up for one of two community discussions to reflect on whether and when AI systems should be trusted.
Academic libraries are continually looking for ways to respond to diverse research needs while stretching collection budgets. The OCUL shared evidence-based acquisitions program, helmed by a small working group of volunteers from OCUL member libraries, demonstrates how collaborative collection development can help achieve this goal.