CS 335: Fair, Accountable, and Transparent (FAccT) Deep Learning

Weekly Reading Assignments

Students are required to finish a series of reading assignments that count for 25% of their final grade. Students can pick one of the suggested articles each class in the weekly schedule. Note that for each class you only need to pick one articles from the reading list. Grades will be assigned equally across 16 such reading assignments. Each assignment will receive 1/16 of the total score for the reading assignment.

Assignment Schedule

Reading assignments are due before the class that is one week after. Check below for a schedule of the assignment due dates.

Reading Schedule 

Late Submission Policy

We will take 10% of the maximum grades for each week students are late for their submissions. For example, if an assignment is late for 2 weeks, the maximum grade one can receive for that assignment is 1-2*10%=80%. That means that the student's grade is capped at 80% of the maximum grade one can receive.

All assignments must be submitted by Jun 3 in order to receive grades. Any submissions after Jun 3 will not receive any grades.

Formats

Assignments have a limit of one page, under the NeurIPS template. Please exclude the abstract section of the template.

Assignment Guidelines

The goal of the reading assignments is to develop research thinking in the field of FAccT. We do not expect students to summarize what the people is about. As FAccT is a rapidly changing field, we ask students to think about the following questions:

  • how the paper changes the vision of FAccT research?
  • what future directions that this paper inspired you?
  • why the paper does/doesn't seem important?
  • observations of novel methodology or methodology that seems suspect?
  • why the paper is/isn't effective at getting its message across?
  • how the paper has changed your opinion or outlook on a topic?