PHIL 5010 — AI Ethics
4 semester hoursGraduateLectureOnlineOnline
Discusses artificial intelligence and the host of ethical issues it raises: decisions turned over to machine-learning algorithms can be opaque and unfair; autonomous vehicles promise to increase safety but raise challenges for assigning responsibility for accidents; diffusion of AI is likely to transform the labor market in unpredictable ways; and the data that powers machine-learning algorithms raise questions about privacy and security. In order to realize the benefits of AI while responsibly developing and implementing it, it is necessary to identify the ethical issues at stake and work to resolve them. This course takes up the philosophical and ethical questions essential to this project.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 1 | 18 | 19 | 95% | 1.0 |
| Fall 2024 | 1 | 16 | 19 | 84% | 3.0 |
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 0% · Th 0% · F 0%
Common patterns: async (100% of sections) — in patterns, R means Thursday
Professors
Fall
Spring
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (PHIL course descriptions) · Student reviews on RateMyHusky · All PHIL courses · Plan it at numap.app