If you’ve applied for a job lately, it’s all but guaranteed that your application was reviewed by software—in most cases, before a human ever laid eyes on it. In this episode, the first in a four-part investigation into automated hiring practices, we speak with the CEOs of ZipRecruiter and Career Builder, and one of the architects of LinkedIn’s algorithmic job-matching system, to explore how AI is increasingly playing matchmaker between job searchers and employers. But while software helps speed up the process of sifting through the job market, algorithms have a history of biasing the opportunities they present to people by gender, race...and in at least one case, whether you played lacrosse in high school.

We Meet: 

Mark Girouard, Attorney, Nilan Johnson Lewis

Ian Siegel, CEO, ZipRecruiter

John Jersin, former Vice President of Product Management, LinkedIn

Irina Novoselsky, CEO, CareerBuilder 


We Talked To: 

Mark Girouard, Attorney, Nilan Johnson Lewis

Ian Siegel, CEO, ZipRecruiter

John Jersin, former Vice President of Product Management, LinkedIn

Irina Novoselsky, CEO, CareerBuilder 

Derek Kan, Vice President of Product Management, Monster

Aleksandra Korolova, Assistant Professor of Computer Science, University of Southern California 

Brian Kropp, Vice President Research, Gartner

Matthew Neale, Vice President of Assessment Products, Criteria Corp

Josh Bersin, Research Analyst

Jonathan Kestenbaum, Co-Founder and Managing Director, Talent Tech Labs

Suresh Venkatasubramanian, Assistant Director, White House Office of Science and Technology Policy


Sounds From: 

How to Keep a Job, Coronet Instructional Films: https://archive.org/details/HowtoKee1949 

Curious Thing AI (Sound from their AI tool)


Credits:
This episode was reported by Hilke Schellmann, and produced by Jennifer Strong, Emma Cillekens and Anthony Green with special thanks to Karen Hao. We’re edited by Michael Reilly.

Additional reporting from us:
https://www.technologyreview.com/2021/06/23/1026825/linkedin-ai-bias-ziprecruiter-monster-artificial-intelligence/
https://www.technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain/
https://www.technologyreview.com/2021/04/09/1022217/facebook-ad-algorithm-sex-discrimination/
https://www.technologyreview.com/2019/11/07/75194/hirevue-ai-automated-hiring-discrimination-ftc-epic-bias/
https://www.technologyreview.com/2020/02/14/844765/ai-emotion-recognition-affective-computing-hirevue-regulation-ethics/