If you ever do stand-up, put me down for a ticket.

You mean the A.I. in charge.

No one said this was generative AI, though. Which is good, because it's not an LLM or genAI

AI/ML has long been used successfully to help predict future issues based on information from previous issues. It's one of the things it excels at over humans, because it can process a much, much larger pool of data than a human can.

plus, AI is just a bunch of algorithms in a trench coat.

"Hallucinations" are produced by LLMs, which wouldn't be appropriate for air traffic control. Automations of this type are done with Symbolic AI (aka "classical" or "logical" AI). Symbolic AI is built from sets of rules and conditions used by human beings to make the same decisions. This type of AI has been widely used in all kinds of control systems since the 1970s, and is completely unrelated to ChatGPT and other LLMs except by being called "artificial intelligence".

It's actually called Symbolic AI, which codifies clearly defined rules and behaviors - think decision trees and flowcharts. I doubt machine learning will be used in this case, since the rules and reasoning used by air traffic controllers have evolved over almost a century and are well understood. Machine learning is more for situations where the software has to discover the best way to operate because the rules aren't well established.

I also would be surprised they already don't have mechanisms to validate choices made by traffic controller. That probably be a polynomial difficulty problem.

In the air, most planes are required to have a Traffic Collision Avoidance System onboard. It will alert pilots if they are too close to other aircraft and what action to take if they're too close. Pilots are required to perform the action if alerted regardless of what the traffic controller says.

Where did you get that information from?

NHTSA reports human drivers to 1.9 incidents per million miles, and self driving cars companies refuse to give the mileage data. They are forced to give incidents rate data, and we can somehow estimate their milage and then we arrive at over 12 incidents per million miles for self driving levels 3-5.

Oh in 2025 NHTSA changed reporting requirements, to more relaxed, with less supervision and oversight, and no pushback or controls, laid off 25% of workers and changed it's director to Morrison who was at the time Apple Self Driving Car Chief Council.

And even now it's almost twice the rate of human driver per million miles.

Note, Teslas are not self driving. They're mislabeled lane assist.

What definition of “lane assist” includes the ability to manage city driving while following a gps route with turns and stoplights?

Better drivers than the average human driver. Take male drivers out of the equation and it tips. Women drivers may be less secure at times (compared to male overconfidence) but they are far less likely to be reckless or cause lethal accidents.

Signed: a male :p