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Season 3, Ep 1: Bob Suh: Is AI automating human biases?

Season 3, Ep 1: Bob Suh: Is AI automating human biases?

FromBetter Innovation


Season 3, Ep 1: Bob Suh: Is AI automating human biases?

FromBetter Innovation

ratings:
Length:
47 minutes
Released:
Sep 19, 2019
Format:
Podcast episode

Description

And we’re back! In the premiere of season 3, Jeff begins our season-long focus on Artificial Intelligence with Bob Suh, Founder and CEO of OnCorps and a powerhouse of AI expertise. Bob looks at how human patterns of overconfidence, insecurity and self-denial get programmed deep into the systems we’ve designed to improve our decision-making. What happens when AI automates a mistake? As we move into another election cycle that will be dominated by the algorithmic spreading of information, Bob takes a reflective look at the human condition and how honest inputs—both when they’re good and when they’re bad—is the only way to build the integrity, efficacy and world-changing positive benefits that AI can, and should, provide.
Released:
Sep 19, 2019
Format:
Podcast episode

Titles in the series (100)

Better Innovation is a podcast featuring interviews with innovation thought leaders across all industries. It explores stories of how innovation is reshaping and transforming business in an inextricably digital world. Topics covered in this series include business model innovation, emerging trends, advanced technologies, and fostering an innovation culture inside organizations. Better Innovation is hosted by Jeff Saviano, EY Global Tax Innovation Leader (so expect a dose of tax innovation, too!). EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. The views of third parties set out in this publication are not necessarily the views of the global EY organization or its member firms. Moreover, they should be seen in the context of the time they were made.