Overview
What the framework is trying to do
Lo's framework is especially valuable because it grounds AI literacy in the professional context of academic libraries. The study found moderate self-rated conceptual understanding, limited hands-on experience, and significant demand for training around tools, ethics, privacy, and implementation.
It treats AI literacy as a combination of conceptual knowledge, application, critical evaluation, ethical awareness, collaboration, and responsible organizational practice.
Framework structure
Core dimensions or competencies
Conceptual understanding
Understanding AI concepts, capabilities, and limitations.
Applications
Recognizing appropriate tools and uses in library work.
Critical and ethical evaluation
Assessing output quality, bias, privacy, and ethical implications.
Professional collaboration
Working with colleagues and stakeholders as AI is integrated into library services.
Critical depth
Why this framework is rated Moderate
Rated Moderate because ethics, bias, privacy, quality, and stakeholder effects are meaningful parts of the model, but structural analysis of power, labor, surveillance, environmental impact, and epistemic injustice is limited.
Central
Privacy
Present
Bias, verification, human agency
Limited
Power, labor, equity, accessibility, epistemic authority, transparency
Not evident
See the Critical Dimensions Index for dimensions not assigned a stronger classification.
Evidence base
What supports the framework?
Empirical survey of 760 academic library employees
Practical use
Especially useful for
Library professional development, staff competency mapping, AI policy development, and organizational readiness assessment.
Evaluation
Strengths and limitations
Strengths
- One of the few empirically grounded AI literacy models focused on academic libraries.
- Large professional sample for this emerging topic.
- Directly useful for workforce development and organizational planning.
Limitations
- Predominantly U.S.-based sample.
- Relies heavily on self-reported knowledge and readiness.
- Structural dimensions of critical AI literacy are not central.
Portability
How well does it travel?
Moderate–High. It transfers readily among academic libraries but would require translation for student or general-faculty populations.
Source
Citation
Lo, L. S. (2024). Evaluating AI literacy in academic libraries: A survey study with a focus on U.S. employees. College & Research Libraries, 85(5), 635. https://doi.org/10.5860/crl.85.5.635