It's a strange paradigm shift, where the tool is right and useful most of than not, but also make expensive mistakes that would have been spotted easily by an expert.
It's a strange paradigm shift, where the tool is right and useful most of than not, but also make expensive mistakes that would have been spotted easily by an expert.
Human experts make expensive mistakes all the time
Not at the same rate than AI supervised by a non-expert.