activity
20202026
most citedJobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

9 citations · 14 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CY2026

AI Alignment Amplifies the Role of Race, Gender, and Disability in Hiring Decisions

Ze Wang, Guobin Shen, Michael Thaler

Humans increasingly delegate consequential decisions to language models, yet whether these systems reproduce or reshape human patterns of discrimination remains unclear. Here, acro…

cs.CL2024★ 9 cited

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

Ze Wang, Zekun Wu, Xin Guan +6

The use of Large Language Models (LLMs) in hiring has led to legislative actions to protect vulnerable demographic groups. This paper presents a novel framework for benchmarking hi…

econ.GN2021

The Supply of Motivated Beliefs

Michael Thaler

When people choose what messages to send to others, they often consider how others will interpret the messages. A sender may expect a receiver to engage in motivated reasoning, lea…

econ.GN2021★ 1 cited

Overinference from Weak Signals and Underinference from Strong Signals

Ned Augenblick, Eben Lazarus, Michael Thaler

When people receive new information, sometimes they revise their beliefs too much, and sometimes too little. In this paper, we show that a key driver of whether people overinfer or…

econ.GN2020★ 2 cited

The Fake News Effect: Experimentally Identifying Motivated Reasoning Using Trust in News

Michael Thaler

Motivated reasoning posits that people distort how they process information in the direction of beliefs they find attractive. This paper creates a novel experimental design to iden…

econ.GN2020★ 2 cited

Good News Is Not a Sufficient Condition for Motivated Reasoning

Michael Thaler

People often receive good news that makes them feel better about the world around them, or bad news that makes them feel worse about it. This paper studies how the valence of news…

econ.GN2020

Gender Differences in Motivated Reasoning

Michael Thaler

Men and women systematically differ in their beliefs about their performance relative to others; in particular, men tend to be more overconfident. This paper provides support for o…