And the main point is that increasing what would have been called beta code even 10 years ago is being pushed out as production ready. As she pointed out with IBM once she pointed out the issue to IBM with their face recognition AI they added examples to their training set and increased accuracy across the board. But that indicates it was not properly tested in the first place. That argues for a more inclusive IT staff and better QA. So that shows their first argument against some merit but could be fixed without much difficulty. So the solution ought to be to fix not ban.
The second argument of what if our government becomes like China is flawed as well. The face recognition AIs are going going to get better even if we do not work on them here someone will. Anything useful can also be used as a weapon. So if the government does want to use face recognition they will just get it. Probably better to have a known working system than one bought hasily and rushed into place.
It is odd to they barely mention any AI or ML outside of face recognition despite face recognition being a small part of what is out there.
All in all might be good to get you to started on research of your own but mostly misdirected furry.
The second argument of what if our government becomes like China is flawed as well. The face recognition AIs are going going to get better even if we do not work on them here someone will. Anything useful can also be used as a weapon. So if the government does want to use face recognition they will just get it. Probably better to have a known working system than one bought hasily and rushed into place.
It is odd to they barely mention any AI or ML outside of face recognition despite face recognition being a small part of what is out there.
All in all might be good to get you to started on research of your own but mostly misdirected furry.