Artificial intelligence 101: Building literacy with the AI-ABCs framework.

Journal: Nursing outlook
Published Date:

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.

Authors

  • Mahrokh M Kobeissi
    By Mahrokh M. Kobeissi , DNP, RN, FNP-C, UTHealth Cizik School of Nursing, Houston, Texas, Mahrokh.M.Kobeissi@uth.tmc.edu .
  • Diane M Santa Maria
    Department of Research, Cizik School of Nursing, Houston, TX.
  • Jung In Park
    Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, CA.

Keywords

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