How Police Facial Recognition AI Is Arresting Innocent People | Impractical Privacy

6 months in a Maryland jail cell for a crime she didn’t commit. All because a computer algorithm decided an innocent grandmother in Oklahoma looked "close enough" to a bank fraud suspect. Welcome to Episode 28 of Impractical Privacy. In this episode, Sudo breaks down the catastrophic real-world consequences of law enforcement’s reliance on fundamentally flawed, structurally biased facial recognition software. We dismantle the myth of the "human-in-the-loop" safeguard, expose how these black-box systems build a closed feedback loop of confirmation bias in police lineups, and detail the devastating human cost when a machine's guess overrides basic detective work. Can you sandbox a police department or encrypt your physical face? No. But you aren't completely defenseless. We outline actionable, real-world strategies to push back against the state's algorithm, from legislative bans to mapping surveillance nodes in your community. 🕒 CHAPTERS: 00:00 - Introduction: The Identity Lineup 00:15 - Segment 1: The Hook — Six Months for a Lookalike 04:57 - Segment 2: The Warning Label Fallacy 10:47 - Segment 3: The Human Cost and Structural Bias 15:57 - Segment 4: The Mitigations — What Can We Actually Do? 16:00 - The #DigitalHygiene Challenge 18:59 - Outro: Technology is a Tool, Not an Oracle 🛠️ THIS WEEK'S #DIGITALHYGIENE CHALLENGE:Your mission this week isn't on a keyboard. Research your local municipality's stance on facial recognition technology. Find out if your city has a ban in place, and if they don't, find the name of your city council representative to make your voice heard. 🔗 RESOURCES & LINKS: Stream directly (No Tracking Telemetry): https://ImpracticalPrivacy.com Support the show on Patreon / Crypto: https://ImpracticalPrivacy.com/Patreon If you want to protect your digital sovereignty, make sure to SUBSCRIBE, hit the notification bell, and leave a comment below with your thoughts on algorithmic policing.Stay safe, stay skeptical, and never trust an algorithm to do a detective's job. #Privacy #FacialRecognition #MassSurveillance #Biometrics #AutomationBias #TechJustice #Podcast #DigitalHygiene