Deep Learning Hope and Hype: Technology Review’s Will Knight - a podcast by MIT Technology Review Insights

[Sponsored] In this episode: Why researchers at the year’s biggest AI conference focused on how to keep human bias out of computer algorithms.Both the progress and the hype around cutting-edge machine learning techniques were on vivid display at the December 2018 NeurIPS Conference in Montreal, Quebec, says Will Knight, MIT Technology Review’s senior editor for artificial intelligence. One big question hanging over the meeting, Will says, was how to detect and reverse the sexism, racism, and other forms of bias that seep into machine-learning algorithms that train themselves using real-world data. Participants also previewed the coming generation of chips designed specifically to support deep learning—a field where US manufacturers face growing competition from China. Separately, Will looks to the most exciting AI trends for 2019, including the generative adversarial networks (GANs) being used to generate authentic-looking photos and videos.
This episode is brought to you by PwC, a global consulting firm in 158 countries with more than 250,000 people. PwC transforms business outcomes and results, helping companies use digital and emerging tech to reimagine their business from strategy and operations to tax and finance. In the second half of the show, Scott Likens, PwC’s New Services and Emerging Tech leader, shares details from a new PwC study on the main trends in artificial intelligence that business leaders need to know about in 2019.Business Lab is hosted by Elizabeth Bramson-Boudreau, the CEO and publisher of MIT Technology Review. The show is produced by Wade Roush, with editorial help from Mindy Blodgett. Music by Merlean, from Epidemic Sound.

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