remixtures, Portuguese
@remixtures@tldr.nettime.org avatar

#AI #AIDetector #GenerativeAI #Plagiarism #HigherEd: "People typically have bigger vocabularies and a better grasp of complex grammar in their first languages. This means non-native English speakers tend to write more simply in English. So does ChatGPT. In fact, it mimics human writing by parsing everything it has ever processed and crafting sentences using the most common words and phrases. Even if AI detectors aren’t specifically trained to flag less complex writing, the tools learn to do so by seeing over and over that AI-generated writing is less complex.

Weixin Liang, one of the authors of the Stanford study, learned Cantonese and Mandarin before English. He was skeptical about claims of near-perfect accuracy with AI detectors and wanted to look more closely at how they worked for students with linguistic backgrounds like his.

“The design of many GPT detectors inherently discriminates against non-native authors, particularly those exhibiting restricted linguistic diversity and word choice,” Liang said via email."

https://themarkup.org/machine-learning/2023/08/14/ai-detection-tools-falsely-accuse-international-students-of-cheating

MugsysRapSheet,
@MugsysRapSheet@mastodon.social avatar

@remixtures
It's pretty clear the "#AI" was programmed to look for "awkward"/stilted language instead of copied text.

Back in the 1980's, the U.S. Army tried to "train" a computer to spot enemy tanks in obscure reconnaissance photos.

In training, the "AI" was 100% accurate. In a field test, it failed 100%.

Why?

Turns out all of the Training Photos used were taken on "sunny" days and it was cloudy during the live test. The AI wasn't detecting "tanks", it was detecting sunny days. 🤦‍♂️ #TRIVIA

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