Creative contribution should remain visible.
IPRS began as a public claim that AI markets need attribution, agency, and a path to participation for creators.
In 2025, IPRS proposed a global royalty system for AI. The conviction survives. The architecture got smaller: every intentional use of a known creative asset should be able to ask, accept terms, and leave proof—in one call.
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The first paper named the right problem: creators should not become invisible when their work powers AI. Its proposed product, however, tried to solve identity, ownership, detection, pricing, distribution, and global governance at once.
IPRS began as a public claim that AI markets need attribution, agency, and a path to participation for creators.
A worldwide royalty network requires every hard question to be settled before any one part can be tested. That is a movement, not a minimum viable product.
When software intends to use a known asset, it asks one narrow question: what does the declared policy information permit right now?
Return ALLOW, DENY, or REVIEW, with any quote and obligations, plus a signed record of what the service evaluated.
This browser illustration mirrors the proof-of-concept contract. It makes three outcomes legible instead of treating uncertainty as permission.
IPRS Clear is deliberately narrow enough to test, integrate, and improve without pretending the hardest legal and social questions have disappeared.
A developer should not need to assemble identity, license terms, price, and use context differently for every asset. The API is a stable decision surface over changing policy sources.
Missing policy, unresolved authority, or conflicting terms should produce REVIEW. Silence is not consent and ambiguity is not ALLOW.
A signed receipt records the request, the policy inputs, and the decision. It supports audit and accountability; it is not a title opinion, fair-use ruling, or guarantee of rights.
RSL and ODRL can describe policy. ISCC can help identify content. C2PA can carry provenance. IPRS Clear aims to orchestrate those signals into an operational decision—not rename their work.
After the original paper, RSL 1.0 made AI-era license discovery and authorization concrete. Alongside stable ODRL, ISO-standard ISCC, and advancing C2PA specifications, the case for a new mega-standard got weaker—and the case for a simple orchestration layer got stronger.
References describe interoperability goals only. No endorsement, certification, affiliation, or partnership is implied.
Known creative inputs should be named, not hidden inside a workflow.
Permission belongs before generation or training—not after a dispute.
Price, attribution, and participation should be legible before acceptance.
Missing or conflicting authority resolves to REVIEW, never silent permission.
Every decision should create portable evidence of what was asked and answered.
Existing standards are inputs to orchestrate, not ideas to relabel.
The next milestone is not a bigger manifesto. It is one real workflow, a small declared catalog, and evidence of whether one API reduces ambiguity without hiding risk.
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