Overview
This e-learning micro course is designed for healthcare and public health professionals who are interested in understanding the role of generative AI in promoting health equity. The course introduces key concepts of generative AI, explores its applications in healthcare and public health, and addresses potential risks and biases associated with its use. Through real-world examples, reflection activities, and practical strategies, learners will gain insight into how to develop and implement generative AI tools that are equitable, inclusive, and designed to benefit all communities. In the final chapter, the course emphasizes ethical frameworks, such as the ACCESS AI model, that guide the responsible design of AI systems in healthcare. Learners will be equipped with knowledge on how to mitigate AI biases and foster equity-driven AI practices.
Learning Objectives
- Describe the fundamentals of generative AI and its potential applications to healthcare and public health.
- Analyze the potential impact of generative AI on health equity.
- Develop skills to implement ethical generative AI practices.
Course Chapters
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Chapter 1: Generative AI - Potential Applications to Healthcare and Public Health and Potential Benefits to Health Equity
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Chapter 2: Identifying Risks and Harm in Generative AI
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Chapter 3: Advancing Health Equity Through Generative AI
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Chapter 4: Conclusion