Algorithmic Bias

AI Didn’t Fail the Fired Worker. The Legal Profession Did.

A fired worker used ‘plain wrong’ AI legal advice to fight his dismissal. The tribunal condemned him. His response? He’s going to use even more AI for his appeal. We laugh at his ignorance, but he’s acting rationally. AI isn’t the villain hereβ€”it’s the only lawyer the working class can afford. The real crisis isn’t bad software; it’s a legal system that prices out justice entirely.

Your Smartphone Is About to Become Your Health Insurance Underwriter

Google’s new research shows smartphone cameras can estimate cardiometabolic risk from a simple selfie. While this promises free, continuous health monitoring, it also hands insurers a terrifying new tool for predictive discrimination. The shift from reactive to predictive health means your phone might know you’re sick before you doβ€”and that data is a liability.

YouTube’s ‘Made for Kids’ Flag Is a Kafkaesque Trap. And It’s Designed That Way.

YouTube’s automated ‘Made for Kids’ flagging system is a Kafkaesque trap: creators can’t correct obvious errors because the human review process is designed as a legal liability shield, not a genuine quality control mechanism. The result is a system that harms both creators and the children it claims to protect.

The Algorithm Thinks You’re a Robot. Here’s Why That’s a Nightmare for Real Creators.

YouTube’s AI detection algorithm just flagged Kurzgesagt as AI-generated. It’s a wake-up call: the more AI slop floods the platform, the more human creators are punished for being too good. The real problem isn’t AI β€” it’s an algorithm that can’t tell the difference, and a system that makes creators prove their humanity.