Office of AI Creator Control: What It Must Mean in Practice
The PM promised creator control. But control requires infrastructure — consent records, licence terms, price records, evidence exports. Here’s what must be built.
Ashe Davis
Founder & CEO, ScriptShield
Ashe Davis is the founder of ScriptShield. She is an optioned Screenwriter, Author, and SaaS Developer, who wanted to help creators prove authorship and protect their intellectual property in the digital age.
The Prime Minister’s speech on 15 July 2026 was the right speech. He said the right things about creator rights, AI training and the price of creative work. He established the right institution — the Office of AI, inside the Department of Prime Minister and Cabinet. He set the right timeline — legislation early 2027.
What he did not announce — because it does not exist yet — is the practical infrastructure that turns the word “control” into a functioning system. ScriptShield has been building toward that infrastructure since before the announcement. This article maps what “creator control” actually requires beneath the policy.
Not rhetoric. Not aspiration. The specific records, systems and evidence capabilities that a creator, an AI company, a publisher, a court or a government body would need to make control real.
The Short Answer: Office of AI creator control requires infrastructure that can answer seven questions: who owns the work, what use was permitted, what conditions applied, what price was set, whether payment was made, whether the use stayed within the licence and whether the evidence can be independently verified. ScriptShield is designed to answer all seven. Start building your record.
What did the Office of AI announcement actually establish?
The Office of AI is a coordinating body within PM&C. It will oversee the design of Australian Standards for AI — a set of mandatory standards covering copyright, AI training, consumer safety, employment, education, data centre requirements and national security. The PM intends to take the approach to National Cabinet in August 2026 and introduce legislation early 2027.
The Copyright and AI Reference Group (CAIRG), established under the Attorney-General’s Department, continues its work on three priority areas: lawful licensing of copyrighted material for AI, certainty around AI-generated material and less costly enforcement mechanisms including a potential small-claims forum.
What has been established is institutional coordination and political commitment. What has not been established is the detailed licensing model, the technical standards for compliance, the enforcement mechanism or the creator-facing infrastructure that makes any of it operational.
That gap is not a criticism. It is an opportunity — and a responsibility.
What does “creator control” require as infrastructure?
Seven capabilities. Each one must be present for the PM’s vision to become operational.
Consent records
A structured, timestamped record of whether a creator has permitted a specific use of a specific work. Not a checkbox. Not a blanket terms-of-service acceptance. A documented, work-level, purpose-specific consent that records what was agreed, when and by whom.
Licence terms
Machine-readable terms covering the permitted purpose, model, company, territory, duration, attribution, sublicensing and revocation conditions. Really Simple Licensing (RSL) and W3C TDMRep are moving toward this, but neither covers the full range of granularity the PM’s vision requires.
Creator-set prices
The PM said creators control the price and value of their work. That means the infrastructure must record what the creator set, what was offered, what was accepted and whether payment was made. A price record is meaningless without a payment record.
AI-use declarations
Works need structured disclosure of whether AI was involved in their creation and how. Your three-tier declaration system — human-authored, AI-assisted, AI-generated — provides the vocabulary. The standard needs to be adopted more broadly so that every work entering an AI training pipeline carries a transparent disclosure of its origins.
Provenance baselines
Every protected work needs an independently verifiable record of when it existed, in what form and who declared ownership. SHA-256 cryptographic hashes and RFC 3161 trusted timestamps establish this. C2PA content credentials can carry provenance signals within the file itself.
Compliance monitoring
After permission is granted, someone must watch whether the use stays within the terms. Did the company train a model outside the permitted scope? Did a sublicensee use the work without authority? Did the licence expire? Monitoring is the only mechanism that turns a permission into an enforceable boundary.
Evidence exports
When a dispute reaches a court, tribunal, small-claims forum or licensing negotiation, the creator needs an evidence bundle that presents the original work, versions, timestamps, hashes, declarations, disclosure history, licence conditions, detection evidence and response history in an organised, independently verifiable format.
ScriptShield’s Rights Graph is designed to deliver all seven. It connects provenance to permission to price to compliance to evidence in a persistent, creator-controlled record.
How does ScriptShield map to CAIRG’s three priorities?
The mapping is direct.
Priority 1: Lawful licensing of copyrighted material for AI
ScriptShield’s AI Training Rights Passport records granular, work-level permissions for each type of AI use. It supports consent, conditions, pricing and payment documentation. When a licensing framework arrives, creators with documented positions will be ready to participate. Creators without them will need to start from nothing.
Priority 2: Certainty around AI-generated material
ScriptShield’s AI & Human Authorship declaration system provides a structured vocabulary for transparent disclosure. The timestamped version chain documents the creative evolution that supports authorship evidence. Together, they provide greater certainty about whether a work was human-created, AI-assisted or AI-generated — the exact question regulators, publishers and courts are increasingly asking.
Priority 3: Less costly enforcement, including a possible small-claims forum
Any small-claims process will depend on the quality of evidence creators bring to it. ScriptShield is designed to produce structured evidence that could support an efficient administrative or small-claims process — organised, independently verifiable and clearly distinguishing facts from declarations from automated findings from legal conclusions.
What should government build, and what should creators build themselves?
Government should build the legal framework: the licensing model, the enforcement mechanism, the small-claims forum, the transparency obligations and the penalties for non-compliance. That is legislation, regulation and institutional design. The Office of AI and CAIRG are the right bodies to coordinate it.
Government should not build the creator-facing evidence infrastructure. History shows that government registries are slow, underfunded and difficult to adapt as technology changes. The Attorney-General’s Department already notes that Australia has no official copyright registration system and that private registration services cannot guarantee copyright protection.
Creators and the private sector should build the practical tools — the consent records, the provenance baselines, the permission profiles, the monitoring systems, the evidence exports — that plug into whatever framework government establishes. The most effective infrastructure will be interoperable with emerging standards (C2PA, RSL, TDMRep) and adaptable as those standards mature.
ScriptShield is being developed to support emerging Australian requirements for creator control, transparent AI use, machine-readable permissions and accountable licensing. It does not claim compliance with standards that have not yet been published. It provides practical infrastructure through which future provenance, consent, licensing and evidence requirements can be implemented.
What should creators do while the infrastructure catches up?
Build your record now
The legislation is coming. The creators who arrive at the new framework with documented provenance, declared authorship, timestamped permissions and organised evidence will benefit most.
Start with a free hash receipt
Protect your most important work. Add versions. Declare authorship. Set your AI Training Rights Passport terms. Every piece of evidence you create now is evidence you will not need to reconstruct later.
Engage with the process
The Senate inquiry into AI and data centres is accepting submissions. CAIRG is consulting. The Office of AI will need to hear from creators — not just about what protection they want, but about the practical infrastructure they need.
The Bottom Line
The Office of AI has the political mandate. CAIRG has the policy agenda. The legislation is expected early 2027. What does not yet exist is the infrastructure that connects the word “control” to the record that makes it real.
ScriptShield is building that infrastructure — consent records, licence terms, creator-set prices, provenance baselines, AI-use declarations, compliance monitoring and evidence exports. Not because the government asked us to. Because the government described exactly the problem we were already solving.
Be Ready When the Framework Arrives
Start with a free hash receipt. Build your Rights Graph. Set your AI Training Rights Passport terms. When the legislation lands, your record is already there.
Start Building Your RecordProtect Your Creative Work
Generate SHA-256 authorship certificates and track who sees your scripts, manuscripts, and creative works.
Get StartedScriptShield provides evidence documentation tools for creators. It is not a law firm and does not provide legal advice.