acm-header
Sign In

Communications of the ACM

ACM Careers

Professors Cautious of Tools to Detect AI-Generated Writing


View as: Print Mobile App Share:
magnifying glass above a document, illustration

Researchers have found that AI detector tools are not reliable.

Credit: Shutterstock

As tech-based efforts to detech AI-driven fakery ramp up, many in higher education are choosing to stand back and wait, worried that new tools for detecting such plagiarism may do more harm than good.

Montclair State University announced in November that academics should not use the AI-detector feature in a tool from Turnitin. That followed similar moves from institutions including Vanderbilt University, the University of Texas at Austin, and Northwestern University.

A big question driving these decisions: Do AI-detection tools even work?

Discussions of plagiarism and its detection have surged. With faculty fretting about the potential abuse of AI tools like ChatGPT, technology companies have touted the benefits of AI detectors. Turnitin says its AI-detection tool, in an attempt to avoid false positives, can miss roughly 15 percent of AI-generated text in a document.

In June last year, an international team of academics found a dozen AI-detection tools were "neither accurate nor reliable."

From Inside Higher Ed
View Full Article – May Require Registration


 

No entries found