 |
| DESCRIPTION | This course examines how AI-enabled decision systems are governed in urban domains such as transport, housing, labor, and public services, and how governance choices shape access, accountability, and the distribution of risks and resources. Students gain working literacy in core AI concepts and common algorithmic system types used in digital society, and learn to apply risk-based governance and accountability instruments across the system lifecycle (Govern–Map–Measure–Manage), including algorithmic impact assessments, transparency registers, audit and continuous monitoring requirements, and data-sharing and privacy frameworks, to ensure legality, reliability, and public value in real policy contexts. This course also provides an initial, case-based lens for students to engage more deeply with sociological explanations in the subsequent course UGOD 5050 Cities and Society in spring term. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6940) | We 01:30PM - 04:20PM | Rm 105, E3 | QIAO, Si | 15 | 9 | 6 | 0 |