The excitement around ChatGPT-like generative artificial intelligence platforms came with fears related to the replacement of humans, AI domination, plagiarism, etc. While we have heard a lot about how to compete with ChatGPT for your job, a young entrepreneur is promising to calm the nerves of journalists, screenwriters, and college professors who are concerned about the plagiarism aspect of ChatGPT.
GPTZero is developed by Edward Tian, a 22-year-old Princeton University student studying computer science and journalism to deter the misuse of ChatGPT in classrooms and newsrooms. The artificial intelligence platforms help to check plagiarism by distinguishing between a text written by humans or generated by a ChatGPT-like platform.
Tian has secured $3.5 million in funding co-led by Uncork Capital and Neo Capital, with tech investors including Emad Mostaque, chief executive officer of Stability AI Ltd, and Jack Altman, a Bloomberg report said.
The company claims that the GPTZero platform analyzes the text on two aspects- the randomness of the text, also known as perplexity and the uniformity of this randomness within the text, also known as burstiness. GPTZero maker claims that the AI platform can identify the difference between text written by a ChatGPT-like AI or by humans.
On accuracy, the company said that platform has an accuracy rate of 99% for human text and 85% for AI text.
“We believe we can get the smartest people working on AI detection in a room together,” said Tian. “The field of detection is so new and we believe it deserves more attention and support.”
Complementary tool:
“Our classifier has a number of important limitations,” the company acknowledges on the website. “It should not be used as a primary decision-making tool, but instead as a complement to other methods of determining the source of a piece of text,” it added.
The issue becomes complex in the absence of a full-proof tool as no decisive action cannot be taken on the percentage of chances.
ChatGPT-maker OpenAI also claims to own an AI text classifier to detect machine-generated content but lacks the required credibility. The tool correctly identifies only 26% of AI-written text as “likely AI-written,” while incorrectly labeling human-written text as AI-written 9% of the time.
(With inputs from Bloomberg)
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