220.612.02
IH Professional Seminar Series: AI in Global Health

Location
East Baltimore
Term
2nd Term
Department
International Health
Credit(s)
1
Academic Year
2026 - 2027
Instruction Method
In-Person
Class Time(s)
Course meets every other week. Week 1: Oct. 23 Week 3: Nov. 6 Week 5: Nov. 20 Week 7: Dec. 11
Thursday, 12:00 - 12:50pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Course Instructor(s)
Rebecca Heidkamp
Contact Name
Rebecca Heidkamp
Frequency Schedule
Every Year
Prerequisite
No prerequisites for this course.
Enrollment Restriction
IH 1st year MSPH and MHS students only.
Description
Artificial intelligence is transforming how we conduct research and deliver public health programs—learn how to use it responsibly and effectively in global health settings. Health professionals worldwide are turning to AI for smarter insights. Gain the practical foundation you need to use these tools ethically, effectively, and creatively.
Offers a practice-oriented introduction to how AI can support research and practice, with examples relevant to international health. Emphasizes appropriate use, interpretation, and communication of AI-assisted outputs, as well as key limitations, ethics, and bias considerations
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Identify ethical, equity, and privacy considerations for responsible AI use in diverse global health contexts, and ensure AI-assisted decisions are guided by human judgment and professional standards.
  2. Communicate AI-assisted insights and limitations clearly to non-technical stakeholders, including global health partners and policymakers.
  3. Apply AI tools (e.g., large language models, machine learning) to complete common professional tasks in international health settings, such as literature synthesis, translation support, and communication drafting.
  4. Assess AI-generated outputs for accuracy, cultural appropriateness, and suitability before using them in professional international health work.
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
  • 40% Participation
  • 60% Written Assignment(s)
Instructor Consent
No consent required
Special Comments

There are two sections of this class, which will be held every other week (see Alternative Course Schedule); this one is taught on Thursdays and the other on Wednesdays. Taught by Rebecca Heidkamp.