Tag: AI detection
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[Link] Reflections on the proliferation, use and misuse of (generative) AI
Cheating is a social problem. We should not be trying to use technology to solve a social problem.
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[Link] Turning off AI detection software the right call for SA universities
https://www.dailymaverick.co.za/article/2025-07-25-turning-off-ai-detection-software-the-right-call-for-sa-universities/ The problems with Turnitin’s AI detector extend far beyond technical glitches. The software’s notorious tendency towards false positives has created an atmosphere where students live in constant fear of being wrongly accused of academic dishonesty. The burden of proof has been reversed: students are guilty until proven innocent, a principle that would be considered…
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Weekly digest 33
A weekly collection of things I found interesting, thought-provoking, or inspiring. It’s almost always about higher education, mostly technology, and usually AI-related.
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More to AI detection than accuracy
AI text detectors, like OpenAI’s 99.9% accurate tool, aren’t the solution to academic cheating. These detectors have limitations, including model-specific detection and manipulable statistical features. We’re not going to find answers by entering into an arms race with students, by trying to build increasingly accurate AI detectors.
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Stop using AI detection services because they don’t work
The researchers conclude that the available detection tools are neither accurate nor reliable and have a main bias towards classifying the output as human-written rather than detecting AI-generated text. Furthermore, content obfuscation techniques significantly worsen the performance of tools. Weber-Wulff, et al. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity,…
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Link: What if Turnitin had pivoted towards AI assessment rather than AI detection?
https://markcarrigan.net/2024/02/07/what-if-turnitin-had-pivoted-towards-ai-assessment-rather-than-ai-detection/ “What AI product did TII try and build? A detector. What if Turnitin had pivoted towards AI assessment rather than AI detection? Or AI analytics? Imagine what else could have possibly be done with the data they have in their systems?“ Interesting question to consider.