This culminating unit synthesizes the course by examining the real-world impacts of AI-for-health projects, facilitating structured discussions, and drawing conclusions from course experiences. Students reflect on lessons learned, articulate key takeaways, and prepare actionable recommendations for responsible deployment and further study.
Learning Objectives
- Analyze the societal, clinical, and global health impacts of AI-driven interventions studied in the course, using evidence to identify benefits, risks, and potential unintended consequences
- Evaluate ethical, legal, and equity considerations related to emerging health technologies and prioritize stakeholder concerns to inform responsible decision-making
- Apply course learnings to develop a concise action plan for a selected AI-for-health project that includes goals, risk mitigations, success metrics, and next steps
- Demonstrate effective communication by leading a culminating discussion and producing an executive summary that synthesizes key takeaways for diverse audiences
Curriculum
- 1 Section
- 9 Lessons
- 30 hours
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Instructor
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