Focuses on the urgent ethical and political issues raised by data science and society, building on consideration of foundational issues in moral philosophy and a technical understanding of advances in machine learning. Topics include: algorithmic bias and discrimination, predictive policing, self-driving cars, consent to data collection, surveillance and privacy rights, democracy and free speech online, attentional modification, technology and disability, and the singularity. Each unit pairs readings from philosophical and legal scholarship with case studies documented in scientific articles, news stories, and podcasts. (Formerly Philosophical Foundations of Science Studies.)
3 terms
Other grades
University of California, Santa Cruz
PHIL 80M at UCSC: average GPA 3.47 across 111 students. Grade distribution by term. Focuses on the urgent ethical and political issues raised by data science…
Average GPA: 3.47
Grade distribution records: 111 students across 3 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 13 | 11.7% |
| A | 30 | 27.0% |
| A- | 22 | 19.8% |
| B+ | 10 | 9.0% |
| B | 9 | 8.1% |
| B- | 5 | 4.5% |
| C+ | 2 | 1.8% |
| C | 2 | 1.8% |
| C- | 2 | 1.8% |
| D | 1 | 0.9% |
| F | 2 | 1.8% |
| P | 9 | 8.1% |
| NP | 3 | 2.7% |
| W | 1 | 0.9% |
Based on 111 student grade records across 3 terms and 3 professors.
The course page is taking longer to load. This summary is still available.
We could not load the full course details. This summary is still available.
Still loading. This can take a moment on a slow connection.
Loading My Class Grades