
Flock Safety built an 8.3 billion dollar business on a simple idea: a photograph isn't very useful until software can search it. In this episode, host Emily Laird traces the path from one Atlanta neighborhood's break-ins to a sensor network across more than 5,000 communities, and explains what changes when a passing car becomes a database record with fields for plate, color, body type, and bumper stickers. She also walks through the partial plate match that got an innocent driver stopped by police, a case where the matching software did exactly what it was designed to do and the result was still wrong. The takeaway isn't that AI makes mistakes; it's that AI moves bad data and bad process faster than they could travel on their own. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
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Pacing the Frontier

Flock Cameras: Where Your License Plate Data Really Goes

Inside Flock: Who Can Search Your License Plate Data?

Why AI Evaluation Still Needs Human Experts
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