Artificial Intelligence (AI) in Learning and Discovery: AI Literacy and Competencies

This guide explores artificial intelligence (AI) in academic research, the healthcare community, and education. It aims to strengthen AI literacy, support critical evaluation, and connect users with key tools and resources.

What is AI Literacy?

Long and Magerko define AI literacy as a set of core competencies that enables individuals to critically evaluate AI technologies; communicate and collaborate effectively with AI; and use AI as a tool online, at home, or in the workplace.¹

Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals

In 2021, fifteen subject matter experts were interviewed to define AI-related clinical competencies for healthcare professionals. Six competency domains were identified and are listed below --

1. Basic knowledge of AI

2. Social and ethical implications of AI

3. AI enhanced clinical encounters

4. Evidence-based evaluation of AI based tools

5. Workflow analysis for AI based tools

6. Practiced based learning and improvement regarding AI based tools

Read the report to learn more about the competencies.

Competencies for the Use of Artificial Intelligence–Based Tools by Health Care Professionals

References

¹ Long D, Magerko B. What is AI Literacy? Competencies and Design Considerations. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM; 2020. p. 598–598.