Princeton Bias-in-AI Reading Group

We talk about bias and fairness issues that emerge in artificial intelligence.

Meets every other Tuesday 4:00-5:00pm EST. Sign up for the mailing list here (Princeton affiliates only please).

Past meetings here.

Fall 2022

9/20/22: Angelina Wang - Model Multiplicity: Opportunities, Concerns, and Solutions by Black et al. (FAccT 2022)
10/4/22: Rose Guingrich - Gender & Conversational Agents (UNESCO paper)
10/11/22: Sayash Kapoor and Angelina Wang - Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy
11/15/22: Vikram V. Ramaswamy - Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability
12/6/22: Christelle Tessono - Analyzing Canada's Proposed AI and Data Act


Founded by Arvind Narayanan and Olga Russakovsky in Fall 2017

AY 2021-2022: Angelina Wang

AY 2020-2021: Angelina Wang

AY 2019-2020: Felix Yu

AY 2018-2019: Haochen Li