In this episode, David and Dwight dive into the critical and ever-present issue of poor data quality in HR and its cascading impact on the organization. They break the problem down into 3 key areas: recruiting, artificial intelligence, and pay transparency. They explore how recruiting often serves as the flawed entry point for employee data, discuss the dangers of training AI on biased information (which can lead to discriminatory practices like ageism), and examine the new data governance challenges posed by emerging pay transparency laws.

[0:00] Introduction

[5:24] How does poor data quality in recruiting create downstream problems?

[12:08] How can biased data lead to discriminatory AI in the hiring process?

[19:32] What are the data governance challenges presented by pay transparency laws?

[24:31] Closing

Quick Quote

“As the demographic bubble for Gen X gets larger, companies can't ignore [AI bias in recruitment] anymore. They have to take it on, and that means they have to start training their artificial intelligence to not filter out all of us grays.”