Researchers dug into several proposed methods and tools for recognising AI-generated text. None of them are foolproof, all of them are vulnerable to workarounds, and it’s unlikely they will ever be as reliable as people may like.
The classifier was trained on external AIs as well as the company’s own text-generating engines. In theory, this means it should be able to flag essays generated by BLOOM AI or similar, not just those created by ChatGPT.
Edward Tian, a computer science major minoring in journalism, released the first version of GPTZero in January.based on two factors: Perplexity and burstiness. Perplexity measures how complex a text is, while burstiness compares the variation between sentences. The lower the values for these two factors, the more likely it is that a text was produced by an AI.First, we prompted ChatGPT to generate a short essay about justice. Next, we copied the article - unchanged - into GPTZero.
To test GPTZero further, we copied ChatGPT’s justice essay into GPT-Minus1 - a website offering to “scramble” ChatGPT text with synonyms. The image on the left depicts the original essay. The image on the right shows GPT-Minus1’s changes. It altered about 14 per cent of the text.We then copied the GPT-Minus1 version of the justice essay back into GPTZero. Its verdict?"Your text is most likely human written but there are some sentences with low perplexities.
However, watermarking also has limitations. The quality of AI-generated text might be reduced if its vocabulary was constrained. Further, each text generator would likely have a different watermarking system - so text would next to checked against all of them. As this arms race continues, we may see the rise of “contract paraphrasing”: Rather than paying someone to write your assignment, you pay someone to rework your AI-generated assignment to get it past the detectors.
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