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3202. Data Ethics
3.00 credits
Prerequisites: One three-credit course in Philosophy at the 1100 level.
Grading Basis: Graded
Ethical and epistemological questions encountered in collecting, interpreting, inferring from and acting upon data—including when these activities are automated or carried out on large observational data sets. Issues may include data privacy and ownership; informed consent; algorithmic bias, equity, and transparency; the theory-ladenness of data; the logic of scientific inference; corporate and institutional responsibility; and implications for democratic and other social values.
Last Refreshed: 28-MAR-24 05.20.12.635703 AM
Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1243 6502 1 001 | Spring 2024 | Storrs | Hybrid | Bontly, Thomas Rossberg, Marcus |
001 | Reg | TuTh 9:30am‑10:45am |
MCHU 107 | 27/30 | |
1248 9949 1 001 | Fall 2024 | Storrs | In Person | 001 | Reg | MoWeFr 11:15am‑12:05pm |
SHH 110 | 26/40 |