Assertion Supported AI assessment confidence: 95% certainty 4/5 debate potential 2/5

Glaser: European-built facial recognition performed worse on non-European faces

Harry Glaser · The Conscience of AI // Harry Glaser, Periscope Data (FirstMark's Data Driven) · Apr 9, 2018 · at 5:21

Harry Glaser, CEO of Periscope Data, discussing real-world examples of algorithmic bias in AI.

0:00 / 0:23exact quote · 23.6s
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“One of them is a facial recognition software, a classifier, and this particular classifier, this particular facial recognition was built by a team of folks of European descent, much like myself, and it turned out to be very good at recognizing faces of European descent, and it turned out to not be as good at recognizing faces of African descent or of Asian descent which proved to be a pretty big embarrassment when it got out into the world.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

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