So maybe we should not be using opaque ML algorithms for life-and-death situations to begin with? Instead of, you know, hoping that whomever is screwed by them has an active advocacy group in places like MIT.
Using NL for such things hasn’t been working too great, so it seems worthwhile to try for something better.
such as?
Are you asking for examples where NL hasn’t done well or for potential ways to do better?
the latter. It’s relatively easy to say “stop doing X”; it’s harder to say “...and have you considered Y instead?”
I’d hope it was obvious from context that ML was the potential way to do better here.
I read you as saying that it was the thing doing poorly and that some superior object detection method was required. What that approach could be is totally unobvious to me.
Maybe you missed my too-subtle use of “NL” to describe natural learning i.e. squishy meat computers.