14 citations · 51 across the 23 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2024★ 1 cited
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
Huy Nghiem, John Prindle, Jieyu Zhao +1
Social science research has shown that candidates with names indicative of certain races or genders often face discrimination in employment practices. Similarly, Large Language Mod…
cs.AI2024
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
Lingjun Zhao, Khanh Nguyen, Hal Daumé
Language models will inevitably err in situations with which they are unfamiliar. However, by effectively communicating uncertainties, they can still guide humans toward making sou…
cs.AI2023★ 12 cited
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
Navita Goyal, Connor Baumler, Tin Nguyen +1
AI systems have been known to amplify biases in real-world data. Explanations may help human-AI teams address these biases for fairer decision-making. Typically, explanations focus…