PHTH 5360 — AI at the Intersection of Health and Society
3 semester hoursGraduateLectureusually offered: springtypical days: WBostonTraditional
Studies how artificial intelligence can be applied in the domain of health and the issues that arise as a result. Examines how AI tools could affect social determinants of health, which are conditions that influence health and well-being (e.g., poverty, education, work, place, as well as discrimination by gender and racial identities). Explores the principles of machine learning predictions, classification, causality, and fairness. Covers the techniques to mitigate such concerns, notably through human-centered AI, participatory design, and value-sensitive design.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2026 | 1 | 6 | 24 | 25% | 18.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 100% · Th 0% · F 0%
Common patterns: W (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Herman Saksono (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (PHTH course descriptions) · All PHTH courses · Plan it at numap.app