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Insights: Identifying and Avoiding The Dangers of Big Data

February 01, 2016 00:00 AM UTC
- Updated May 06, 2020 15:04 PM UTC

Author Cathy O’Neil explains what could go wrong. (December 2016)

Transcript

[MUSIC PLAYING] CATHY O'NEIL: The problem is that, actually, all algorithms, all big data algorithms and models, they're only as good as the data that goes into them. So if that data has bias, then the outputs have bias, too. Not to mention that it's the humans that decide what success looks like. S...

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