Depends. In the articles Uber example, the failure wasn't with detection, it as with context switching. The detection kept changing, and so the model kept goin

Depends. In the articles Uber example, the failure wasn't with detection, it as with context switching. The detection kept changing, and so the model kept going "oh, new object, restart decision process." Lacking the ability to generate and maintain it's own context is an area where a human would do better. We might not know what the object was, but our "slow down" response wouldn't keep resetting depending on what we classified the object as. Same as words switching meanings within a piece or sentence. It's hard, but most humans can pickup when the usage changes