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[-] Boddhisatva@lemmy.world 28 points 1 year ago

OpenAI discontinued its AI Classifier, which was an experimental tool designed to detect AI-written text. It had an abysmal 26 percent accuracy rate.

If you ask this thing whether or not some given text is AI generated, and it is only right 26% of the time, then I can think of a real quick way to make it 74% accurate.

[-] Leate_Wonceslace@lemmy.dbzer0.com 14 points 1 year ago

I feel like this must stem from a misunderstanding of what 26% accuracy means, but for the life of me, I can't figure out what it would be.

[-] schzztl@lemmy.nz 1 points 1 year ago

Specificity vs sensitivity, no?

[-] cmfhsu@lemmy.world 2 points 1 year ago* (last edited 1 year ago)

In statistics, everything is based off probability / likelihood - even binary yes or no decisions. For example, you might say "this predictive algorithm must be at least 95% statistically confident of an answer, else you default to unknown or another safe answer".

What this likely means is only 26% of the answers were confident enough to say "yes" (because falsely accusing somebody of cheating is much worse than giving the benefit of the doubt) and were correct.

There is likely a large portion of answers which could have been predicted correctly if the company was willing to chance more false positives (potentially getting studings mistakenly expelled).

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this post was submitted on 10 Sep 2023
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