Is this idea from AI or humans? A detector claims it can tell
A new detector called idealens was presented by researchers to distinguish ideas generated by humans from those produced by ai. The system analyzes the outline of a document rather than its full text, stripping away style to focus on argument structure and flow.
Key points
- idealens detects ai-generated ideas with 91% accuracy by analyzing document outlines.
- Researchers Rishanth Rajendhran and Nikhil Garg developed the detector.
- Tool focuses on argument structure, not full text, and may be inaccurate on unfamiliar data.
In a preprint, the authors report that idealens correctly identified ai‑derived ideas 91% of the time. Rishanth Rajendhran, a computer scientist at the University of Maryland, and Nikhil Garg, a Cornell Tech researcher, highlighted the tool’s potential to help conferences and journals gauge the extent of ai use in submissions.
Both scientists caution that the detector is fallible and may lose accuracy when applied to data types different from those used in training. They advise that it should not be used to judge individual cases of authenticity.
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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