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Reducing Crime in America w/ Machine Learning

Reducing Crime in America w/ Machine Learning

Released Tuesday, 1st February 2022
Good episode? Give it some love!
Reducing Crime in America w/ Machine Learning

Reducing Crime in America w/ Machine Learning

Reducing Crime in America w/ Machine Learning

Reducing Crime in America w/ Machine Learning

Tuesday, 1st February 2022
Good episode? Give it some love!
Rate Episode

Today’s guest, Joshua Thomas, VP of External Communications at Flock Safety, talks with us about how machine learning can reduce human biases and provide ethical, actionable evidence to police in crimes with cars involved. A fascinating and timely conversation!

Join us as we discuss:

- Delivering both felt safety and actual safety

- How Flock started with a bunch of break-ins

- The ins and outs of ethical machine learning

- Mitigating bias and serving justice with vehicle data

- 4 principles for building products for social justice

Check out these resources we mentioned during the podcast:

- Unwarranted by Barry Friedman

- New York University’s Policing Project

Meet us here every other week, and we promise to keep it spicy for you. Find Revenue Innovators onApple Podcasts,Spotify, or our website.

Listening on a desktop & can’t see the links? Just search for Revenue Innovators in your favorite podcast player.

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