224.600.01
Applied Artificial Intelligence for the Social, Behavioral and Mental Health Sciences
Location
East Baltimore
Term
2nd Term
Department
International Health
Credit(s)
3
Academic Year
2025 - 2026
Instruction Method
In-person
M, W, 10:30 - 11:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Emily Haroz
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
No prerequisites for this course.
Enrollment Restriction
This course is not restricted.
Artificial Intelligence and related methods (e.g., large language models, natural language processing, sentiment analysis, machine learning) will shape the future of public health in many ways. By taking this course, you will advance your understanding of how these approaches can be applied in ways that advance social, behavioral, and mental health.
Delves into the opportunities and challenges that accompany the application of AI technologies for the social, behavioral, and mental health sciences. Highlights critical considerations and rigorous research that demonstrates applicable, ethical, and transparent research and practice. Equips students with the background knowledge and critical thinking that will help to advance the field of AI in public health. Fosters a deeper appreciation of the role of AI in the social, behavioral, and mental health sciences and inspires continued innovation in the field going forward.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Recognize the historical and current applications of AI in Public Health, particularly in the context of social, behavioral, and mental health sciences.
- Evaluate the ethical implications and potential biases in AI models and propose strategies to mitigate these issues in public health applications.
- Apply AI models for improving individual and community social, behavioral, and mental health.
- Critique and assess the validity, reliability, and ethical considerations of current AI research relevant to public health, focusing on social, behavioral, and mental health applications.
- Synthesize knowledge of AI and public health to create innovative solutions and propose new applications of AI that address emerging social, behavioral and mental public health issues.
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 15% Participation
- 5% Assignments
- 20% Reflection
- 55% Final Paper
- 5% Presentation(s)