Text and Data Mining opt-out. A declaration by a rights holder that their content may not be used for AI training or data mining. Under UK law (Data Use and Access Act 2025), EU law (AI Act Article 53), and US fair use analysis, opt-out mechanisms carry distinct legal weight.
Framework working vocabulary. Stable for citations in board minutes, training, and education. May be refined in minor releases.
An AI system that operates autonomously to take actions, make decisions, or produce outputs without continuous human oversight. In the CIP framework, agentic systems create distinct ingestion and output scenarios where subsisting rights may be engaged without human review.
The direction of rights movement from creative content into AI systems — covering training data, fine-tuning data, prompt inputs, and style or likeness. See also: Derivative flow.
A role-specific route within CIP with its own requirements, assessments, and outputs. The five paths are Creator, Agency, Legal Practitioner, Underwriter, and Platform.
The documented trail showing the movement of a creative asset through the rights chain — from original creator through transformations, ingestions, distributions, and uses. The CDR system and Rights Registry provide the infrastructure for chain of custody in the CIP framework.
The set of permissions, limits, and controls that define how a creative work may be used. The Consent Framework captures whether consent has been granted for AI training, fine-tuning, commercial use, and related activities, and on what terms.
Ongoing professional learning required to maintain certain CIP certifications. The Legal Practitioner Designation requires 10 hours of CPD per year. CPD activities must relate to developments in AI law, IP regulation, or CIP framework updates.