Unauthorized Revenue Reversion Theory: A Platform-Level Framework for Returning Profits from Unauthorized AI and Media Use to Original Creators
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2026
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| _version_ | 1866902025889906688 |
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| author | Trinity Labo |
| author_facet | Trinity Labo |
| contents | <div>This paper proposes Unauthorized Revenue Reversion Theory (URRT), a platform-level framework for redirecting profits generated by unauthorized use of creative, performative, or intellectual assets back to the original creators or rights holders.</div> <div> </div> <div>The theory addresses a central problem of AI-mediated platform economies: voices, visual styles, fictional characters, performances, code structures, theories, and other creator-linked assets can be imitated, transformed, and monetized at high speed, while traditional takedown-centered copyright enforcement often operates too slowly to protect creators economically.</div> <div> </div> <div>URRT does not legalize unauthorized use. Instead, it separates cultural circulation from commercial extraction. Non-monetized hobby or fan activity may remain visible when it does not violate safety, dignity, or explicit creator preferences. However, once revenue is generated, the platform detects possible dependency on registered creator assets, locks the relevant revenue stream, evaluates similarity, dependency, monetization, and abuse factors, and redirects the appropriate share of revenue to the original creator.</div> <div> </div> <div>The paper formalizes this process through a revenue reversion function, multi-creator allocation model, dispute and appeal procedure, abuse threshold, and economic instability theorem. The central result is that unauthorized commercial exploitation becomes economically unstable when the expected reverted revenue, penalties, and platform restrictions exceed the unauthorized user's expected profit.</div> <div> </div> <div>URRT reframes creator protection for the AI era as a problem of revenue attribution rather than deletion alone. Its goal is not to eliminate all derivative culture, but to prevent unauthorized users and platforms from capturing economic value generated from another creator's identity, voice, style, character system, implementation, or intellectual structure.</div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20350709 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Unauthorized Revenue Reversion Theory: A Platform-Level Framework for Returning Profits from Unauthorized AI and Media Use to Original Creators Trinity Labo <div>This paper proposes Unauthorized Revenue Reversion Theory (URRT), a platform-level framework for redirecting profits generated by unauthorized use of creative, performative, or intellectual assets back to the original creators or rights holders.</div> <div> </div> <div>The theory addresses a central problem of AI-mediated platform economies: voices, visual styles, fictional characters, performances, code structures, theories, and other creator-linked assets can be imitated, transformed, and monetized at high speed, while traditional takedown-centered copyright enforcement often operates too slowly to protect creators economically.</div> <div> </div> <div>URRT does not legalize unauthorized use. Instead, it separates cultural circulation from commercial extraction. Non-monetized hobby or fan activity may remain visible when it does not violate safety, dignity, or explicit creator preferences. However, once revenue is generated, the platform detects possible dependency on registered creator assets, locks the relevant revenue stream, evaluates similarity, dependency, monetization, and abuse factors, and redirects the appropriate share of revenue to the original creator.</div> <div> </div> <div>The paper formalizes this process through a revenue reversion function, multi-creator allocation model, dispute and appeal procedure, abuse threshold, and economic instability theorem. The central result is that unauthorized commercial exploitation becomes economically unstable when the expected reverted revenue, penalties, and platform restrictions exceed the unauthorized user's expected profit.</div> <div> </div> <div>URRT reframes creator protection for the AI era as a problem of revenue attribution rather than deletion alone. Its goal is not to eliminate all derivative culture, but to prevent unauthorized users and platforms from capturing economic value generated from another creator's identity, voice, style, character system, implementation, or intellectual structure.</div> |
| title | Unauthorized Revenue Reversion Theory: A Platform-Level Framework for Returning Profits from Unauthorized AI and Media Use to Original Creators |
| url | https://doi.org/10.5281/zenodo.20350709 |