Podcast: Beating the AI hiring machines

MIT Technology Review 

When it comes to hiring, it's increasingly becoming an AI's world--we're just working in it. In this, the final episode of Season 2 of our AI podcast "In Machines We Trust" and the conclusion of our series on AI and hiring, we take a look at how AI-based systems are increasingly playing gatekeeper in the hiring process--screening out applicants by the millions, based on little more than what they see in your résumé. In fact, an increasing number of people and services are designed to help you play by--and in some cases bend--their rules to give you an edge. This is NOT Jennifer Strong. To wrap up our hiring series, the two of us took turns doing the same job interview, because she was curious if the automated interviewer would notice. So, human Jennifer beat me as a better match for the job posting, but just by a little bit. It got better personality scores. Because, according to this hiring software, this fake voice is more spontaneous. It also got ranked as more innovative and strategic, while Jennifer is more passionate, and she's better at working with others. Jennifer: Artificial intelligence is increasingly used in the hiring process. And these days algorithms decide whether a resume gets seen by a human, gauge personalities based on how people talk or play video games, and might even interview you. In a world where you no longer prepare for those interviews by putting your best foot forward--what does it mean to present your best digital self? Sot: Youtube clips montage: Vlogger 1: Want to know three easy hacks to significantly improve your performance on video interviews like HireVue, Spark Hire, or VidCruiter? Vlogger 2: Please do make sure you watch this from beginning to end, because I want to help you to pass your interview.

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