No, it's not the same thing because for plagiarism detection tools we don't really base a decision on the tool's output but rather compare the submitted documen

No, it's not the same thing because for plagiarism detection tools we don't really base a decision on the tool's output but rather compare the submitted document with the supposedly plagiarized original that the tool identified, and in those cases both verbatim copying without attribution and trivial changes can be identified by a human, the tool is just generating suggestions for human review. On the other hand, if a tool thinks that the text has an x% probability[1] of being AI-generated text, I have nothing to base a decision other than the output of that tool - if I'm not willing to fully delegate the decision to that tool (and I'm not) then I have no practical means to verify if the tool's suspicion is right. [1] And as someone working on machine learning, let me spare you a lecture on that a ML classifier saying "x%" can not be safely interpreted as x% probability, there's a million caveats that the vast majority of papers and tools don't try to address.