Artificial intelligence isn't always the best at picking the best job candidates : The Indicator from Planet Money Artificial intelligence has been portrayed as a solution to human bias. But, when it comes to finding top job talent, AI can get it just as wrong. So how can that be fixed?

For sponsor-free episodes of The Indicator from Planet Money, subscribe to Planet Money+ via Apple Podcasts or at plus.npr.org.

When AI works in HR

When AI works in HR

  • Download
  • <iframe src="https://www.npr.org/player/embed/1169725631/1169833703" width="100%" height="290" frameborder="0" scrolling="no" title="NPR embedded audio player">
  • Transcript
GIANRIGO MARLETTA/AFP via Getty Images
Real estate agent Aracelis Bonet, 50, works on her laptop near her son Adam Martinez, 14, (not pictured) who is affected by severe autism, in her room in their Orlando home on October 1, 2020. (Photo by GIANRIGO MARLETTA/AFP via Getty Images)
GIANRIGO MARLETTA/AFP via Getty Images

Hiring managers have long looked for an efficient way to find the best job candidates among hundreds of applicants. Enter artificial intelligence. But AI, which has been touted as a way to remove human bias from the hiring process, isn't always better.

Beginning in July, New York City will enforce a new law that bans employers from using automated tools in hiring and promotion decisions — unless they've been audited for bias.

Music by Drop Electric. Find us: Twitter / Facebook / Newsletter.

Subscribe to our show on Apple Podcasts, Spotify, Pocket Casts and NPR One.

For sponsor-free episodes of The Indicator from Planet Money, subscribe to Planet Money+ via Apple Podcasts or at plus.npr.org.