Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence Literacy Framework for Libraries: A Competency-Based Approach
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) is rapidly reshaping higher education and information ecosystems. Academic libraries, as key facilitators of knowledge access, face the challenge of equipping staff and patrons with AI literacy to ensure responsible and effective adoption. This paper synthesizes recent frameworks [5] - [8], examines library-specific AI readiness studies [1] - [4], [9]–[12], and proposes a competency-based AI Literacy Framework tailored for libraries. The framework highlights five dimensions— knowledge, skills, ethics and policy, metacognition, and community service—supported by tiered competency levels (novice, practitioner, leader). The contribution lies in contextualizing AI literacy for librarianship, offering both theoretical grounding and practical pathways for implementation.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.635 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.543 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.051 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.844 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.