Philosophy
Big Data, Artificial Intelligence, and Ethics
3 credits
Survey of the main ethical questions and challenges from mass data collection and analysis, automated decision making, and artificial intelligence. Some prior study of philosophical ethics and data analysis is helpful but not required. Recommended for both Major in Philosophy students and other students interested in this topic. Credit will only be granted for one of PHIL_V 336 or CPSC_V 430.
Average
76.2%
Students
74
Sections
1
Grade distribution. <50: 1, 50-54: 1, 55-59: 0, 60-63: 1, 64-67: 4, 68-71: 2, 72-75: 17, 76-79: 20, 80-84: 20, 85-89: 8, 90-100: 0.
Historical Averages
2025–2025
Lowest section avg
76.2%
Highest section avg
76.2%
Terms offered
1
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 001 | Lecture | Open | Tue 11:00-12:30, Thu 11:00-12:30 | Scott Allen Anderson |
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