Hiring bias podcast by TA Audit Institute
Hiring bias podcast by TA Audit Institute
Podcast Description
This is a fully AI generated podcast using Notebook LM to make podcasts to summarize scientific articles on bias, labor market discrimination and fair hiring practices.
Podcast Insights
Content Themes
The podcast centers around themes of bias and discrimination in hiring practices, addressing topics such as age discrimination, ethnic discrimination, and gender bias. Specific episodes explore findings like the impact of age and women on hiring decisions, immigrant hiring biases in Canada, and evidence of gender discrimination in China, providing listeners with an analytical perspective on real-world labor market challenges.
This is a fully AI generated podcast using Notebook LM to make podcasts to summarize scientific articles on bias, labor market discrimination and fair hiring practices.
This is a Notebook LM AI generated podcast based on the paper: Who Shortlists? Evidence on Gender Disparities in Hiring Outcomes by Almasa Sarabi and Nico Lehmann from Amsterdam Business School and University of Amsterdam Erasmus School of Economics, Erasmus University Rotterdam
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