Modules will be assigned to be as evenly distributed across the class as possible, keeping in mind your preferences.
Once you are assigned a Module, you will be told the approximate date when your presentation will be. (Since the lecture material moves around as the course progresses, the presentation dates might move as well.)
[1 pt] Find a recent paper (published within the past 5 years) from a reputable AI conference or journal. Your selection should be submitted to Lara & Aydin a week before your presentation & summary are due so that we can verify that your choice is a peer-reviewed article that is relevant to the Module. When you submit your selection, you will provide 1) the name of the article, 2) the authors of the article, 3) the link where the article can be found online, and 4) what class topic (i.e., lesson title) the article is relevant to.
[5 pts] Summarize the paper in a 1-page report. Please include, in your own words:
what are the main findings of the paper?
how does the paper relate to the class?
what are the strengths of the paper?
what are the weaknesses of the paper?
are there any ethical concerns that people should consider if they were to replicate the paper or use any of the methods/data/etc. that are introduced in the paper?
(no points but required at the end of the summary) the names of anyone you talked to about the paper and/or how you used LLMs like ChatGPT (if you did). This does not add to your 1-page limit. Please see the Generative AI Policy for more information on how to cite LLM use. If you did not receive any help, please state that instead.
[1 pt] Present what you learned from the paper to small groups in class. You’re welcome to create a few slides to help you present to your group, but this is not required. We will take about 10 minutes talking in separate groups and then 5 minutes coming together to share with the whole class.
7 points total
Generative AI Policy
If you use ChatGPT (or similar chatbots or AI-based generation tools), you must describe exactly how you used it, including providing the prompt, the original generation, and your edits. This applies to prose, code, or any form of content creation. Not disclosing is an academic integrity violation. If you do disclose, your answer may receive anywhere from 0 to full credit, depending on the extent of substantive edits, achievement of the learning objectives, and overall circumvention of those objectives.
Use of AI/automatic tools for grammatical assistance (such as spell-checkers or Grammarly) or small-scale predictive text (e.g., next word prediction, tab completion) is okay. Provided the use of these tools does not change the substance of your work, use of these tools may be, but is not required to be, disclosed.
What to Submit
Fill out this form, choosing what Module(s) you would like to present from — due 9/8 at 11:59PM ET for everyone in the class.
The summary, due 3PM the night before your presentation day. Submission link
No submission, but: Be prepared to discuss what you learned in class on your assigned presentation day.