AI Royalties -- an IP Framework to Compensate Artists & IP Holders for AI-Generated Content

Pablo Ducru, Jonathan Raiman, Ronaldo Lemos, Clay Garner, George He +4 more
4/5/2024
cs.CYcs.AI

No confident code implementation found for this paper.

Abstract

This article investigates how AI-generated content can disrupt central revenue streams of the creative industries, in particular the collection of dividends from intellectual property (IP) rights. It reviews the IP and copyright questions related to the input and output of generative AI systems. A systematic method is proposed to assess whether AI-generated outputs, especially images, infringe previous copyrights, using a similarity metric (CLIP) between images against historical copyright rulings. An examination (economic and technical feasibility) of previously proposed compensation frameworks reveals their financial implications for creatives and IP holders. Lastly, we propose a novel IP framework for compensation of artists and IP holders based on their published "licensed AIs" as a new medium and asset from which to collect AI royalties.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Generative AI and Copyright: A Dynamic Perspective

89% match2024

An Economic Solution to Copyright Challenges of Generative AI

85% match2024

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI

81% match2024

A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

81% match1 repo102024

Copyright Protection in Generative AI: A Technical Perspective

81% match2024

U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI

81% match1 repo42024

Cite this paper

@article{ducru2024royalties,
  title  = {AI Royalties -- an IP Framework to Compensate Artists & IP Holders for AI-Generated Content},
  author = {Pablo Ducru and Jonathan Raiman and Ronaldo Lemos and Clay Garner and George He and Hanna Balcha and Gabriel Souto and Sergio Branco and Celina Bottino},
  year   = {2024},
  eprint = {2406.11857},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.11857v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2406.11857.svg)](https://codeofpaper.com/paper/2406.11857)

Discussion