New six level scale reveals how much ai helped create content
The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration
Artificial Intelligence
Summary
It can be hard to tell how much a computer helped make things like pictures, videos, or text we see online. Existing ways usually say something is either all made by a human or all made by AI, which doesn’t show the full picture. The authors suggest a system called the REAL Rating that uses six levels to explain exactly how much AI was involved in making and sharing content. This helps people better understand what they’re looking at and the role AI played in its creation.
What this means in practice
- •For content platform operators: Publish AI usage details alongside media to increase transparency on user feeds and product pages.
- •For digital rights teams: Design policies and compliance checks around graduated AI involvement in content creation and sharing.
A position paper. It proposes an approach and reports no results.
Authors
Imène Goumiri, Mayleen Cortez-Rodriguez, Eric Bell, Amanda Muyskens
Abstract
Generative artificial intelligence has become increasingly incorporated into digital media and more generally into production workflows with which the public frequently interacts. Current provenance standards and disclosure methods frequently rely on binary categorizations, differentiating only between entirely human-authored and AI-generated content, or depend on technical watermarking that lacks user-facing clarity. However, there are very different risks and outcomes depending on the different uses of AI in the creation and consumption of end products. Therefore, we propose the Reported Engagement with AI Level (REAL) Rating framework which addresses these concerns by introducing a six-tier scale (Levels 0-5) that discloses the extent of AI involvement in both product creation and user experience. This paper details the structural methodology of the REAL Rating system and the specifics of its application across text, image, audio, video, and software products.