What's in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT.

Background: Artificial intelligence chatbots such as ChatGPT (OpenAI) have garnered excitement about their potential for delegating writing tasks ordinarily performed by humans. Many of these tasks (eg, writing recommendation letters) have social and professional ramifications, making the potential social biases in ChatGPT's underlying language model a serious concern.

Objective: Three preregistered studies used the text analysis program Linguistic Inquiry and Word Count to investigate gender bias in recommendation letters written by ChatGPT in human-use sessions (N=1400 total letters).

Disaster Preparedness in a Resettled Refugee Community: Qualitative Findings.

Introduction: Under-resourced communities face disaster preparedness challenges. Research is limited for resettled refugee communities, which have unique preparedness needs.

Study Objective: This study aims to assess disaster preparedness among the refugee community in Clarkston, GA.