# Is this idea from AI or humans? A detector claims it can tell

Digest AI · Research · published 2026-10-13T00:00:00Z

Canonical: https://digestai.news/story/is-this-idea-from-ai-or-humans-a-detector-claims-it-can-tell

## Summary

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.

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.

## 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.

## Why it matters

The detector offers a method to monitor ai use in academic publishing, addressing concerns about integrity and overreliance on ai-generated content. Its high accuracy suggests potential for broader applications, but its limitations highlight the need for careful deployment and further research into ai‑authorship detection.

## Sources

1. [Is this idea from AI or humans? A detector claims it can tell](https://nature.com/articles/d41586-026-03247-0) (Nature Machine Learning, 2026-10-13, primary source)

## Cite

Digest AI, "Is this idea from AI or humans? A detector claims it can tell", 13 October 2026, https://digestai.news/story/is-this-idea-from-ai-or-humans-a-detector-claims-it-can-tell

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