Rant: People keep saying AI bias is just about bad data, but that's missing the whole point
I keep seeing posts that blame biased AI only on the data it's trained on. Sure, that's part of it, but the real problem is who gets to decide what 'good' data even is. I read a report from a group in Berlin that showed a team of 20 people, all from similar backgrounds, picking the training data for a hiring tool. They didn't even see their own blind spots. It's not just about cleaning the data; it's about who's in the room when the system is built. If the people making the AI all think the same way, the bias gets baked in from the start, not just from the numbers. Has anyone else worked on a project where the team makeup actually changed the outcome?