Ethics of Data Science (PHIL*6400)
Code and section: PHIL*6400*01
Term: Winter 2022
Instructor: Gus Skorburg
Method of Delivery:
This course will explore the broad philosophical implications (ethical, legal, social, political, epistemological, etc.) of recent developments in data science, artificial intelligence, and machine learning. We will consider important themes from the philosophy of science, the philosophy of technology, ethics, and social/political philosophy as these relate to recent developments data science, artificial intelligence, and machine learning.
Assignments & Means of Evaluation:
Presentation (20% of final grade)
Research Paper (50% of final grade)
Engagement (30% of final grade)
Hwang, T. (2020). Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet. FSG Originals. ISBN: 9780374538651. All other required readings will be posted as .pdfs on Courselink.
* Please note: This is a preliminary web course outline only. The Philosophy Department reserves the right to change without notice any information in this description. The final, binding course outline will be distributed in the first class of the semester.