MSAI3115
ETHICS, GOV& SOCI IMPACT OF AI
- Department
- Master of Sci in AI
- Terms offered
- 2
- Data refreshed
- Jun 27, 2026
Description
This course explores the ethical, legal, and social challenges AI technologies pose.Students will critically examine issues such as bias, fairness, accountability, transparency, privacy, and the broader societal impacts of AI. The course emphasizes the importance of responsible AI governance, focusing on frameworks, policies, and regulations that guide ethical AI development and deployment. Case studies and real-world scenarios will be used to help students understand the role of AI ethics in varioussectors, including healthcare, finance, and public policy, and how to integrate ethical considerations into AI projects.
Syllabi
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Offering history & forecast 2025–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | Not offered | 1 section | Not offered | No data for this term |
| 2025 | 1 section | Not offered | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Wed, 9:00 AM–12:00 PM JC218 2026
- Thu, 6:30 PM–9:30 PM Sackler Science Center S311 2025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Mark Jacobs | Lecture | 1 | 10 of 30 enrolled | 34865 |
| Fall 2025 | Mark Jacobs | Lecture | 1 | 4 of 30 enrolled | 24162 |