Nonprofit RSL Media announces the Human Consent Standard, an AI licensing framework for use of people's work or likeness, backed by George Clooney and others
This new standard will allow people to set terms for how AI systems can use their likenesses and creative works.
Context & Ripple Effects
The Human Consent Standard extends a growing set of machine-readable rules for AI use. Creative Commons’ CC Signals addressed dataset-holder preferences, while RSL’s publisher-backed framework established licensing and compensation terms for AI crawlers.
This initiative moves that standards work from web content toward individual creative works and likenesses. Backing from George Clooney gives the effort a prominent public advocate, but the supplied record does not establish adoption by AI developers or platforms.
First-order effects
- RSL Media now offers people a framework to specify terms for AI use of their likenesses and creative work, creating a common reference point for consent and licensing discussions.
- Creators, performers, and rights holders gain a standards-based alternative to negotiating AI-use preferences solely through individual contracts or platform policies.
Second-order effects
- AI companies, platforms, and intermediaries that handle creative assets may face pressure to determine whether and how they can recognize Human Consent Standard terms alongside existing publisher and dataset licensing signals.
- The framework could make rights-management and provenance tooling more valuable, since consent terms are useful only if downstream users can discover and apply them.
Third-order effects
- If interoperable standards gain broad uptake, AI-content governance could increasingly be organized around machine-readable permissions and compensation rules rather than blanket access assumptions.
- The remaining structural question is enforcement: standards can coordinate market behavior, but their practical weight will depend on adoption by the systems that train on or distribute the relevant material.
The trend: AI licensing is evolving from publisher-led controls over web scraping toward standardized, potentially machine-readable consent rules for the people whose work and identity can be used by AI systems.