The recent death of the Tesla owner, for example, as far as I know, was due to the vehicle accelerating into a semi. This is something that most people would not do even in their worst driving state unless they were intoxicated or seriously mentally impaired. I don't want AI driving errors to be compared to human benchmarks that include people who are seriously intoxicated.
A lot of speech frustration problems, similarly, are not only about poor recognition in general, or lack of appropriate prompting to increase classification certainty, but recognition failures in situations where a human would not have any trouble at all, such as in recognizing names of loved ones, or things that would be clear in context to a human. I.e., maybe humans listening to speech corpora would have x% error rate, but that's strangers listening to the corpora. The real question is, if I listen to a recording of my spouse or coworker having a conversation what's the error rate there?
So, although humans are far from perfect, which is something that's often forgotten, the true AI target is also probably not "humans broadly defined" but rather "functional humans" or something like that. AI research often sets the bar misleadingly low because it's so hard to reach as it is.