The car sent the San Mateo PD a report that the riders had toy projectile emitters (aka "guns," I suppose) they were using to shoot pellets at passers-by. It pulled into a parking lot until cops arrived. It doesn't report if it locked the riders in.
I was just thinking I want to try at least one joyride but no, now I'm not even interested in giving them those $20.
hmmm kidknapped due to a false positive would be a bit of an oops to try and rewind. its bad enough that the cops do it [just try and get them to give you a ride back to where thay took you from, even when they are told to cut you loose]
it causes real damages when you basically abduct and strand someone.
these "kids" were shooting orbees out the windows, so mischief on them, but get it wrong once and it could get expensive.
Not even "fewer mistakes than humans," just make the same mistakes but a lot faster and that's also good enough reason to keep it around (esp when you add parallelization) just from an efficiency/productivity point of view. There may still be other anti AI arguments, ofc.
All that output needs to be checked, thus why making mistakes faster doesn't seem valuable. How do we determine mistakes are made in the first place. Is it determined by people?
Could be. Machines don't need to provide all the functions of human beings to replace many workers. You can concentrate the supervision and direction function in a single person and assign the rest of the grunt job to machines. You still have replaced most of your human workers.
