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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.
Artificial intelligence (AI) literacy is crucial for nurses. The AI-ABCs framework offers a structured approach to build essential AI knowledge for healthcare professionals, addressing implementation and ethical concerns.
Area of Science:
- Healthcare Informatics
- Nursing Education
- Artificial Intelligence
Background:
- Rapid AI advancements in healthcare create a significant literacy gap among nursing professionals.
- Concerns exist regarding the ethical implementation and practical impact of AI in nursing.
- Existing AI literacy initiatives may not adequately address the specific needs of healthcare professionals.
Purpose of the Study:
- To introduce the AI-ABCs framework, a structured approach for developing foundational AI literacy among nurse leaders, educators, and healthcare professionals.
- To provide an accessible entry point for understanding AI in healthcare settings.
- To support the integration of AI knowledge into nursing curricula and policy development.
Main Methods:
- Comprehensive literature synthesis on AI literacy in healthcare.
- Expert consultation with nursing informatics professionals.
- Development of the AI-ABCs framework based on identified essential AI literacy components.
Main Results:
- The AI-ABCs framework consists of three core components: AI-Basics (A), Benefits and Challenges of AI (B), and Core Components and Terminologies in AI (C).
- The framework offers a structured and accessible method for building AI literacy.
- It provides a foundation for nurse leaders and educators to guide AI implementation and policy.
Conclusions:
- The AI-ABCs framework is a valuable tool for enhancing AI literacy in the nursing profession.
- It equips nurse leaders and educators with the necessary knowledge for ethical AI integration and curriculum development.
- Adoption of this framework aligns with recommendations from key professional organizations for advancing AI in healthcare.
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