The University of Kansas has unveiled an AI recognition tool that claims to recognize AI-written scientific articles with near-perfect accuracy. The Detector, which can distinguish authentic human work from AI compositions, appears to be a beacon of hope amid widespread concern about AI’s encroachment on academic writing.
Led by Professor Heather Desaire, the research team solved the dilemma of AI recognition, particularly focusing on scientific experiments in the field of chemistry. Unlike more general AI detectors that cover a broad spectrum with moderate success, Ms. Desaire’s tool is tuned for better accuracy in this specific area and has achieved remarkable results in tests of magazine content. the American Chemical Society.
The detector’s performance was unmatched when confronted with human-written introductions, achieving impeccable results in detection. There were only minor errors in detecting introductions generated by ChatGPT, while maintaining an impressive 98% accuracy rate.
In contrast, broader AI classifiers like ZeroGPT lag behind in this area, with a success rate of just 37%, while another major provider, OpenAI, has a surprising 80% failure rate.
This advance is extremely promising for academic integrity as scientific publications face the phenomenon of AI-based text generators. It represents a strategic step to ensure the quality of scientific discourse and ensures that innovative but fallible AI tools do not dilute the literature with fabricated or inferior content.
While Ms. Desaire emphasized the risks of AI-generated falsehoods entering the academic world, she also told a humorous but cautious story: a biography written by ChatGPT that was completely wrong in its credentials.
However, she remains hopeful and pushes back against the defeatist view that AI is an irresistible force. She argues for proactive editorial measures and believes that this technological advance is tantamount to a previously won battle to preserve the sacred character of scientific literature.
The abstract of the study conducted by researchers at the University of Kansas titled “Accurate recognition of AI text when ChatGPT is asked to write like a chemist” is provided below:
Summary
Large language models like ChatGPT can generate authentic texts at lightning speed, but many journal editors reject language models as authors of manuscripts. There is therefore an urgent need to find a way to accurately distinguish human-generated texts from those generated by artificial intelligence (AI). We recently developed an accurate AI text detector for scientific journals and in this paper we test its capabilities in a variety of challenging situations, including human texts from a variety of chemistry journals, against AI texts from the most advanced publicly available language model (GPT-4 ) and especially to AI texts generated using prompts to disguise the use of the AI. In all cases, human and AI texts were matched with high accuracy. Text generated by ChatGPT can be easily recognized in chemistry journals; This advance is a prerequisite for understanding how automated text generation will impact scholarly publishing now and in the future.
Source : Research from the University of Kansas
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