Course Information
| Session |
|---|
| Credits | 1.5 CEUs or 15 PDHs |
|---|---|
| Registration dates | We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment. |
$250.00
Dates: January 4 - January 31Credits: 1.5 CEUs or 15 PDHs
This course examines the influence of artificial intelligence (AI) on libraries as institutional entities, covering services, workflows, decision-making, costs, ethics, policy, and governance. It is designed for library personnel across diverse roles, specializations, and environments and requires no technical expertise or familiarity with specific AI tools. Rather than focusing on particular products or platforms, participants will apply practical frameworks to evaluate existing, emerging, and prospective AI applications in library contexts.Participants will develop an Organizational AI Readiness Snapshot—an abbreviated professional document summarizing the organizational context, stakeholder impacts, risks, opportunities, resource requirements, and governance considerations—that can be customized for their organization or a case study. The activity and deliverables are intended to facilitate practical discussion, strategic planning, and informed decision-making about AI.
Course Topics
Learning Outcomes
By the end of the course, participants will be able to:
| Session |
|---|
| Credits | 1.5 CEUs or 15 PDHs |
|---|---|
| Registration dates | We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment. |
This course examines the influence of artificial intelligence (AI) on libraries as institutional entities, covering services, workflows, decision-making, costs, ethics, policy, and governance. It is designed for library personnel across diverse roles, specializations, and environments and requires no technical expertise or familiarity with specific AI tools. Rather than focusing on particular products or platforms, participants will apply practical frameworks to evaluate existing, emerging, and prospective AI applications in library contexts.Participants will develop an Organizational AI Readiness Snapshot—an abbreviated professional document summarizing the organizational context, stakeholder impacts, risks, opportunities, resource requirements, and governance considerations—that can be customized for their organization or a case study. The activity and deliverables are intended to facilitate practical discussion, strategic planning, and informed decision-making about AI.
Course Topics
Learning Outcomes
By the end of the course, participants will be able to:
Lisa Cruces is an independent consultant specializing in academic libraries, archives, and organizational development. Previously, Cruces has held positions at the Harry Ransom Center, University of Notre Dame, the University of Houston, and Texas State University, as well as advisory roles for non-institutional community archives and BIPOC collectives. Cruces completed her master of science in Information Studies at the University of Texas at Austin with a focus in archives and special collections and is currently pursuing her MBA in Human Resource Management at Texas State University. Her research focuses on assessing diversity, equity, inclusion, and accessibility in academia and workplace settings.
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