The emergence of practical, everyday uses for artificial intelligence tools has captured the imagination of the public, for both good and bad. How, though, can artificial intelligence and generative AI tools like ChatGPT, Midjourney, or even Microsoft Copilot be used to improve the practice of public health? Can they be used safely and ethically? In this introductory, hands-on course, we'll look at these questions through a variety of lenses, offering opportunities to build skills in using generative AI tools in your own public health work.
Introduces students to core concepts in the utilization of generative artificial intelligence (AI) tools. Explores ethical, financial, and policy-based issues in the application of generative AI to public health. Contrasts accuracy and reach of generative AI with the potential for both misinformation and problem-solving. Enables students to develop skills in utilizing generative AI tools for public health research and practice.
Introduction to Using Generative AI in Public Health
Johns Hopkins University via Coursera
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110
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Overview
Syllabus
- The How and What? of Generative AI
- Applying Generative AI to Public Health Research and Practice
- The Future of Generative AI: Ethical and Big Picture Considerations
Taught by
Brian Klaas