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Professors proceed with caution using AI-detection tools

insidehighered.com · 1,278 words · saved by 1 readers

Artificial intelligence detection tools have emerged along with the rise of AI—but many professors are concerned about their accuracy. Getty Images As AI-driven fakery spreads—from election-related robocalls and celebrity deepfake videos to doctored images and students abusing the powers of ChatGPT—a tech arms race is ramping up to detect these falsehoods. But in higher ed, many are choosing to stand back and wait, worried that new tools for detecting AI-generated plagiarism may do more harm than good. “Twenty-five years ago, you were grabbing at your student’s text saying, ‘I know this isn’t theirs,’” said Emily Isaacs, director of Montclair State University’s Office for Faculty Excellence. “You couldn’t find it [online], but you knew in your heart it wasn’t theirs.” Montclair announced in November—a year after the launch of ChatGPT—that academics should not use the AI-detector feature in a tool from Turnitin. That followed similar moves from institutions including Vanderbilt Universi

Getty Images As AI-driven fakery spreads—from election-related robocalls and celebrity deepfake videos to doctored images and students abusing the powers of ChatGPT—a tech arms race is ramping up to detect these falsehoods. But in higher ed, many are choosing to stand back and wait, worried that new tools for detecting AI-generated plagiarism may do more harm than good. “Twenty-five years ago, you were grabbing at your student’s text saying, ‘I know this isn’t theirs,’” said Emily Isaacs, director of Montclair State University’s Office for Faculty Excellence. “You couldn’t find it [online], bu

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