Trustworthy AI Reading Group
Trustworthy AI Reading Group
Welcome to the Trustworthy AI Reading Group! This reading group is dedicated to exploring critical topics in AI, including fairness, security, explainability, and their broader applications. We aim to create an inclusive environment that fosters lively discussions and encourages participation from undergraduate, master’s, and PhD students alike.
Organizers:
Dr. Sharon Levy, Department of Computer Science, Rutgers University
Dr. Ruixiang (Ryan) Tang, Department of Computer Science, Rutgers University
Meeting Details:
When: Every Tuesday, 2:00 pm - 3:00 pm
Where: Hill Center, Room 482
First Session: October 22nd
Each session will include the presentation and discussion of one or two research papers. We look forward to your participation!
If you're interested in AI research or curious about the ethical and technical challenges of Trustworthy AI, we would love to have you join us. We highly encourage students to present their own work, ideas, or interesting papers. Please feel free to edit the CSV file [link] to select a time and paper you'd like to present and send an email to the organizers (s.levy@rutgers.edu, ruixiang.tang@rutgers.edu).
Feel free to share this with anyone who might be interested!
Schedule
Date
Presenter
Title
Video (if available)
Oct 22, 2024
Dr. Junyuan Hong
Understanding, Integrating, and Deploying Responsible AI: A Tale About Privacy
Oct 29, 2024
Canceled
Canceled
Nov 12, 2024
Canceled
EMNLP Conference
Nov 19, 2024
Prof. Sharon Levy
Discovering Implicit Social Biases in Large Language Models
Nov 26, 2024
Canceled
Thanksgiving Recess