AI
The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration
Publication: cs.AI updates on arXiv.org
Author: Im\`ene Goumiri, Mayleen Cortez-Rodriguez, Eric Bell, Amanda Muyskens
Source published: 06/10/2026, 04:00:00 UTC
Briefing created: 06/10/2026, 05:06:05 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 06/10/2026, 04:18:25 UTC.
Briefings
A new framework called REAL Rating proposes a six-tier scale (Levels 0-5) to disclose the extent of AI involvement in digital products, moving beyond binary human/AI distinctions. The paper details its structural methodology and outlines specific application rules for text, image, audio, video, and software. This initiative aims to address varying risks and outcomes associated with AI usage in production and consumption workflows.
Key points
- The REAL Rating framework introduces a six-tier scale (Levels 0-5) to disclose the extent of AI involvement in digital products, moving beyond binary human/AI distinctions.
- The framework applies to text, image, audio, video, and software products, detailing specific application rules for each medium.
Context and limitations
The evidence is limited to the abstract and structural methodology description of the REAL Rating framework. Specific application rules, implementation details, and real-world case studies are not provided in the source.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 06/10/2026, 05:06:05 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
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