Detecting Al Plagiarism

Researchers at a large midwestern university have developed algorithms to detect when a submitted assignment was written by artificial intelligence $($A$)$ instead of by the student. The researchers have shown that these algorithms correctly identified a non$-$Al $($student$-$written$)$ submission $98\mathrm{.}3\%$ of the time and correctly identified use of an AI $94\mathrm{.}7\%$ of the time. Note that students are assumed to not have plagiarized using an Al until evidence of Al use has been detected.

$12$

$2$ points

Describe what a Type l error would mean in the terms of the $\backslash "$Detecting AI Plagiarism$\backslash "$ scenario.

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$12ptvv$ Paragraph $vv|B,$I,$U_A{?}_{v}v{Q}_{v}v{T}^{2}vv|vdots$

$\frac{?}{?}\frac{}{{}_{\text{G}\text{r}\text{o}\text{u}\text{p}\text{s}}}$

$10$

detected.

$p$

$(1)||$

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