<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.wallace-aipref-grant-binding" target="https://datatracker.ietf.org/doc/html/draft-wallace-aipref-grant-binding-01">
   <front>
      <title>A Verifiable-Credential Binding for AI Usage Preferences: Expressing Grants that Lift AIPREF Preferences</title>
      <author initials="" surname="wallace" fullname="wallace">
         <organization>LicenseFoundry</organization>
      </author>
      <date month="August" day="6" year="2026" />
      <abstract>
	 <t>   The AI Preferences (AIPREF) vocabulary lets those with rights in a
   digital asset express preferences -- for example, that training of AI
   models is disallowed -- about how automated systems process that
   asset.  Such a preference expresses a reservation.  It does not, by
   itself, provide a verifiable, revocable record of a specific grant
   that lifts a preference for a specific party.

   This document describes that gap and proposes a candidate mechanism:
   a cryptographically signed, offline-verifiable credential that
   expresses a grant referencing an AIPREF usage category and a specific
   asset, that any party can verify without contacting the grantor, and
   that the grantor can revoke.  It is intended as a starting point for
   discussion, not as a finished specification.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-wallace-aipref-grant-binding-01" />
   
</reference>
