Hired by an algorithm — from podcasts.apple.com | MIT Technology Review | In Machines We Trust* — also see this article from technologyreview.com
Excerpt:
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
*From DSC:
In Machines We Trust — Hhhhmmm….hmmmm….I’m not crazy about this title. At all. If you’ve tried to get a job within the last decade, you might know why I say this. While I suppose the algorithms are getting better/more accurate with the passage of time, I still think that a human being can see where a candidate might work or might be able to transfer some skills/competencies from other positions.
I don’t put my trust in machines. I don’t see that perspective changing anytime soon.