3 papers
cs.CY2026
Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements
Evan Dong, Angelina Wang
Machine learning ethics researchers and critical HCI scholars have argued that algorithmically predicting gender is wrong. At the same time, other researchers rely on predicted gen…
cs.CY2026
Capacity Constraints Make Admissions Processes Less Predictable
Evan Dong, Nikhil Garg, Sarah Dean
Machine learning models are often used to make predictions about admissions process outcomes, such as for colleges or jobs. However, such decision processes differ substantially fr…
cs.CY2024
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong, Aaron Schein, Yixin Wang +1
Racial and other demographic imputation is necessary for many applications, especially in auditing disparities and outreach targeting in political campaigns. The canonical approach…