This unit introduces foundational concepts, history, and common processes of artificial intelligence with an emphasis on applications in global health and emerging technologies. Students will practice summarizing complex AI ideas, communicate findings to diverse stakeholders, and analyze case studies (e.g., Amazon conservation, disaster response) to prepare for more advanced work in subsequent units.
Learning Objectives
- Analyze core definitions, historical drivers (the “why now”), and common AI processes (e.g., supervised, unsupervised, reinforcement approaches) and relate them to health-science contexts
- Apply executive-summary techniques to condense technical AI project information into clear, stakeholder-focused summaries
- Demonstrate audience-appropriate oral and written communication of AI concepts, limitations, and ethical considerations for health-related projects
- Evaluate real-world case studies (Amazon conservation, disaster-response triage tools) to identify potential benefits, risks, and follow-up questions that inform subsequent unit investigations
Curriculum
- 1 Section
- 10 Lessons
- 30 hours
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- Unit 1 — Foundations of AI for Good10
- 1.1What Is Artificial Intelligence?20 mins
- 1.2Why Now?20 mins
- 1.3Common Processes20 mins
- 1.4Executive Summary20 mins
- 1.5Executive Summary20 mins
- 1.6Executive Summary20 mins
- 1.7Communication20 mins
- 1.8Amazing Things in the Amazon20 mins
- 1.9Quick Help Saving Lives in Disaster Response20 mins
- 1.10Endnotes20 mins
Instructor
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