Artificial Intelligence Literacy for Public Health
Issued by
University of Arizona
This credential demonstrates proficiency in applying AI methods to real-world public health challenges. Earners can design reproducible AI workflows, evaluate models for bias and fairness, integrate advanced technologies like large language models, and communicate findings through dashboards and policy briefs. They understand ethical frameworks, FAIR data principles, and organizational implementation strategies needed to deploy AI-enabled interventions that advance population health equity.
- Type Validation
- Level N/A
- Time Months
- Cost N/A
Skills
- Artificial Intelligence (AI)
- Artificial Intelligence Applications
- Critical Appraisal
- Dashboard Development
- Ethical AI Governance
- Ethical Responsibility
- Explainable AI
- FAIR Data Principles
- Fairness
- Feature Engineering
- Implementation Science
- Large Language Models (LLMs)
- Policy Analysis
- Policy Communication
- Population Health
- Public Health
- Public Health Data Principles
Earning Criteria
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Earners complete performance-based assignments including lab notebooks, discussion posts, a critical appraisal paper, and a capstone project demonstrating applied AI skills in public health contexts. Participants must achieve 80% or higher on agreed-upon assignments during learning sessions.