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EPISODE · Oct 7, 2019 · 12 MIN

Removing Human Bias from Predictive Modeling

from Knowledge at Wharton

Algorithms are supposed to be neutral but they are packed with the same biases built into the data used to create them. Wharton statistics professor James Johndrow has developed a method to remove those biases. Hosted on Acast. See acast.com/privacy for more information.

Episode metadata supplied by the publisher feed · Published Oct 7, 2019

What this episode covers

Algorithms are supposed to be neutral but they are packed with the same biases built into the data used to create them. Wharton statistics professor James Johndrow has developed a method to remove those biases. Hosted on Acast. See acast.com/privacy for more information.

PodParley-generated summary based on available episode metadata and transcript content.

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Frequently Asked Questions

How long is this episode of Knowledge at Wharton?

This episode is 12 minutes long.

When was this Knowledge at Wharton episode published?

This episode was published on October 7, 2019.

What is this episode about?

Algorithms are supposed to be neutral but they are packed with the same biases built into the data used to create them. Wharton statistics professor James Johndrow has developed a method to remove those biases. Hosted on Acast. See...

Can I download this Knowledge at Wharton episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
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