New study investigates bias in AI resume screening
Getting an interview for a new job has always been tough.
For candidates, the challenge is crafting a cover letter and resume that make you stand out. For employers, the challenge is often volume. Finding the right candidate with the right qualifications – in a stack of applications.
Now, inject AI into the mix. Large Language models (LLMs for short) are being used to help automate some of the tedium of sorting through candidate resumes.
But in a new study from the University of Washington, even the most cutting-edge AI is showing bias.
Soundside was joined by Kyra Wilson, doctoral student at the University of Washington Information School. Wilson co-authored the study with Aylin Caliskan, assistant professor in the iSchool.
Guests:
- Kyra Wilson, doctoral student at the University of Washington Information School.
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Libby Denkmann
Host, Soundside
Libby Denkmann joined KUOW in December 2021 as the host of the midday show Soundside. She’s a native Pacific Northwesterner who grew up in Redmond, graduated from the University of Washington, and covered local news as a producer and reporter with KIRO Radio.
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Alec Cowan
Producer, Soundside
Alec Cowan is a producer for Soundside. His interests have brought many eclectic stories to the program, and his segments gravitate toward history, technology, arts and culture, and the environment. He's proud to be KUOW's unofficial "boat guy."
More stories from Alec Cowan »
