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Artificial intelligence 101: Building literacy with the AI-ABCs framework
Mahrokh M Kobeissi1, Diane M Santa Maria2, Jung In Park3
1Department of Graduate Studies, University of Texas Health Science Center at Houston Cizik School of Nursing, Houston, TX.
Abstract:
The rapid advancements of artificial intelligence (AI) in healthcare have triggered a significant literacy gap among nursing professionals, raising concerns about implementation, ethical use, and impact on practice. This article introduces the AI-ABCs framework as a structured approach to building foundational AI literacy among nurse leaders, educators, and healthcare professionals. The framework was developed through a comprehensive literature synthesis and expert consultation in nursing informatics to identify essential components of AI literacy for healthcare professionals. The AI-ABCs framework provides an accessible entry point for AI literacy through three components: A-AI-Basics, B-Benefits and Challenges of AI, and C-Core Components and Terminologies in AI. The AI-ABCs framework offers nurse leaders and educators a structured approach to developing foundational AI literacy necessary for guiding policy development, curriculum integration, and ethical implementation in healthcare and educational settings, aligning with recommendations from key professional organizations.
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