Manj Chenna

Who really controls what AI decides about you?

Three positions I hold. Under each, the evidence that would change my mind. 01Most "human oversight" is theaterA confirm button bolted onto a decision the model already made isn't command, it's liability laundering. Real oversight means a person can say no and actually be heard. Almost no one builds that. I do. What would change my mind: audited deployments where overrides are frequent, valid, and honored at scale.

Play it: how do simple rules build a world nobody designed?

Set the rule, seed a pattern, watch what emerges, and notice the only thing you actually chose was the rule. That's AI, too: a few people pick the rules, and the rest of us inherit the world those rules grow.

Could you actually catch AI's mistakes? Take the oversight seat.?

The model has already decided. You get a few seconds per case to override it, or let it stand. A shift of eighteen decisions. Watch what happens to you. The real metric, the Meaningful Override Rate, is harder to earn than this toy shows. That is the point. CASE 0/18Ready Press start. A queue of decisions will come at you, fast.

Who is raising the AI?

A model is not manufactured. It is raised. Fed a childhood of data somebody selected, corrected by trainers somebody hired, given values somebody wrote down in a document you will never see. Every model in production grew up in someone's house. We interrogate parents about schools and screen time, then hand our decisions to systems whose upbringing nobody can name.

What am I writing about right now?

Essays, read in the open and half-formed on purpose. Come push on them.