# Researchers propose REAL Rating framework for disclosing human-AI collaboration

Digest AI · Society & Work · published 2026-10-06T04:00:00Z

Canonical: https://digestai.news/story/researchers-propose-real-rating-framework-for-disclosing-human-ai-coll

## Summary

Researchers have introduced the Reported Engagement with AI Level (REAL) Rating framework to disclose the extent of AI involvement in digital media and production workflows. The framework uses a six-tier scale (Levels 0-5) to differentiate levels of AI engagement in both product creation and user experience. It applies across text, image, audio, video, and software products. The approach aims to improve upon current binary disclosure methods and technical watermarking by offering clearer, user-facing information about AI use.

## Key points

- The REAL Rating framework uses a six-tier scale from Levels 0 to 5
- It discloses AI involvement in both product creation and user experience
- It applies to text, image, audio, video, and software products

## Why it matters

The framework offers a more nuanced way to disclose AI use in media, helping users understand the role of AI in content they consume and supporting transparency in digital workflows.

## Sources

1. [The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration](https://arxiv.org/abs/2610.04021) (arXiv cs.AI, 2026-10-06, primary source)

## Cite

Digest AI, "Researchers propose REAL Rating framework for disclosing human-AI collaboration", 6 October 2026, https://digestai.news/story/researchers-propose-real-rating-framework-for-disclosing-human-ai-coll

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