Philosophy (PHIL) |
211 Susan Campbell, 541-346-5547
College of Arts & Sciences
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Course Data
| PHIL 623 Data Ethics |
4.00 cr. |
| This course offers an advanced exploration of central ethical challenges in data science and related fields of computational analysis. |
| Grading Options: |
Optional; see degree guide or catalog for degree requirements
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| Instructor: |
Alvarado R  |
Office:
245 Susan Campbell Hall
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| Course Materials |
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CRN |
Avail |
Max |
Time |
Day |
Location |
Instructor |
Notes |
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35622 |
5 |
10 |
1600-1850 |
w |
250C SC |
Alvarado R |
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Final Exam: |
1445-1645 |
w 6/11 |
250C SC |
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Academic Deadlines
| Deadline |
Last day to: |
| March 30: |
Process a complete drop (100% refund, no W recorded) |
| April 5: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| April 5: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| April 6: |
Process a complete withdrawal (90% refund, W recorded) |
| April 6: |
Withdraw from this course (100% refund, W recorded) |
| April 7: |
Add this course |
| April 7: |
Last day to change to or from audit |
| April 13: |
Process a complete withdrawal (75% refund, W recorded) |
| April 13: |
Withdraw from this course (75% refund, W recorded) |
| April 20: |
Process a complete withdrawal (50% refund, W recorded) |
| April 20: |
Withdraw from this course (50% refund, W recorded) |
| April 27: |
Process a complete withdrawal (25% refund, W recorded) |
| April 27: |
Withdraw from this course (25% refund, W recorded) |
| May 18: |
Withdraw from this course (0% refund, W recorded) |
| May 18: |
Change grading option for this course |
 | You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, please contact the Office of Academic Advising, 101 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day. |
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Expanded Course Description
| Data ethics as a field of study has conventionally been conducted around issues of privacy, fairness, and opacity. Often, the concerns of data ethicist are focused on mitigating harms related to these issues. And yet, ethical questions in general— and even ethical questions concerning technology in particular— go beyond these issues and beyond approaches that focus only on harm mitigation. In this course, rather than limiting ourselves to these conventional issues, we will explore a broader ethical landscape in an attempt to discover ethical imaginaries that include a future of ubiquitous data-driven technologies such as machine learning, generative AI, and other algorithmic automation. |
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