Uploaded June 2021 | Updated September 2026, 1 week ago
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.
Part 2: youtu.be/BAnU4yq0Qzo
Part 3: youtu.be/hX8fSu9otNs
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: 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:
technologyreview.com/2021/06/23/1026825/linkedin-ai-bias-ziprecruiter-monster-artificial-intelligence
technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain
technologyreview.com/2021/04/09/1022217/facebook-ad-algorithm-sex-discrimination
technologyreview.com/2019/11/07/75194/hirevue-ai-automated-hiring-discrimination-ftc-epic-bias
technologyreview.com/2020/02/14/844765/ai-emotion-recognition-affective-computing-hirevue-regulation-ethics
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.
Part 2: youtu.be/BAnU4yq0Qzo
Part 3: youtu.be/hX8fSu9otNs
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: 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:
technologyreview.com/2021/06/23/1026825/linkedin-ai-bias-ziprecruiter-monster-artificial-intelligence
technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain
technologyreview.com/2021/04/09/1022217/facebook-ad-algorithm-sex-discrimination
technologyreview.com/2019/11/07/75194/hirevue-ai-automated-hiring-discrimination-ftc-epic-bias
technologyreview.com/2020/02/14/844765/ai-emotion-recognition-affective-computing-hirevue-regulation-ethics
