For many classes, students are required to write short commentaries on the assigned readings. Commentaries are due before class on Canvas.

The goal here is to think critically about the assigned papers and understand how they relate to the theme of the course: the intersection of HCI and ML. Therefore, paper commentaries should not summarize the paper--everyone reading your commentary will have already read the paper!

Appropriate topics to address in the commentary include:

An excellent way to structure your commentary is to discuss two positive and two critical topics for each paper. Each topic should be a short paragraph (about 4 sentences in length).

We'd like everyone to rate each paper on a scale of 1 to 5 (with 1 being dull and pedantic, and 5 being enlightening and enjoyable). These numbers will be used to determine which papers to keep on the syllabus for subsequent years.

Additionally, we'd like everyone to brainstorm a discussion question for each paper to help the students leading discussion.