AI Use Disclosure

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10 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration
Oct 2, 2026Imène Goumiri, Mayleen Cortez-Rodriguez, Eric Bell +1AI Use Disclosure Human-AI Collaboration
Real Good AI
Expectations and Practices around AI Disclosure in CS Research
Aug 24, 2026Arati Mohapatra, Danish PruthiAI Use Disclosure AI Governance
Indian Institute of Science Bengaluru, KA, India
Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion
Aug 12, 2026Adrian Rauchfleisch, Andreas JungherrHuman-AI Interaction AI Governance
1National Taiwan University · University of Bamberg
Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News
Jun 9, 2026Pooja PrajodHuman-AI Interaction Trust in AI
Centrum Wiskunde & Informatica Amsterdam, the Netherlands
RealityTest: How People Probe AI Identity and Whether Models Disclose It
May 29, 2026Anna Gausen, Sarenne Wallbridge, Bessie O'Dell +2LLM Evaluation Language Model Safety Evaluation
AI Security Institute, London, UK
Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News
May 14, 2026Pooja Prajod, Hannes Cools, Thomas Röggla +2Visual Attention Human-Centered AI
Centrum Wiskunde & Informatica Amsterdam, The Netherlands · University of Amsterdam Amsterdam, The Netherlands · TU Delft +1
A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production
Apr 28, 2026Geraldo XexéoAI Accountability Authorship Attribution
Programa de Engenharia de Sistemas e Computação, COPPE - Universidade Federal do Rio de Janeiro, Rio de Janeiro,RJ – Brasil[cs.CY]
"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work
Mar 8, 2026Angel Hsing-Chi Hwang, Senya Wong, Baixiao Chen +2AI Use Disclosure AI and Labor
University of Southern California · Emory University · IBM Research
How to Disclose? Strategic AI Disclosure in Crowdfunding
Feb 17, 2026Ning Wang, Chen LiangAI Use Disclosure AI Governance
School of Business, University of Connecticut
The Journal of Prompt-Engineered (Moral) Philosophy Or: Why AI-Assisted Ethics Research Requires Process Transparency
Nov 10, 2025Michele LoiAI Accountability Human Oversight of AI
University of Milan

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The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration

Imène Goumiri, Mayleen Cortez-Rodriguez, Eric Bell, Amanda Muyskens

Real Good AI

AI Use Disclosure Human-AI Collaboration AI Accountability Data Provenance

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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.