policy-ai-ip-and-copyright

name	policy-ai-ip-and-copyright
description	Use when drafting or reviewing an organisational Ai Ip And Copyright policy with roles, approval boundaries, enforcement and evidence. Use playbook-social-media-policy for rollout operations and specialist counsel for legal advice.
metadata	{"portable":true,"compatible_with":["claude-code","codex"]}

Policy: AI, Intellectual Property, and Copyright

Use When

• Draft, revise or assess an organisational Ai Ip And Copyright policy.
• Define accountable roles, approval thresholds, records and exception handling.

Do Not Use When

• The request is policy rollout or staff workflow; use playbook-social-media-policy.
• The request needs a binding legal opinion; refer the stated issue to qualified counsel.

Required Inputs

Artefact	Source/provider	Required?	If absent
Organisation, risk appetite and policy objective	Accountable sponsor or approved brief	Yes	Stop and request sponsor direction
Existing policies, contracts and approval map	HR, legal, communications or governance owner	Conditional	Record the gap and avoid claims of alignment
Applicable law, licence or platform terms	Current official source or qualified adviser	Conditional	Mark legal conclusions unassessed and require review

Capability and Permission Boundaries

Read supplied artefacts and search relevant evidence. Treat review, audit and planning as read-only. Editing the requested draft is allowed; publishing, messaging, production changes, personal-data processing, spending, destructive actions and certification claims require explicit authority. Use network access only for authorised verification.

Degraded Mode

If accounts, files, network, rendering or current evidence are unavailable, return the narrowest useful qualified Ai Ip And Copyright policy and implementation checklist plus an evidence-gap list. Mark each unavailable check not assessed; never convert it into a pass.

Decision Rules

Condition	Action	Failure or risk avoided
Training material, source content or generated output has unclear rights	Do not publish or licence it until provenance and permission are resolved	Copyright infringement or false ownership claim
Rule is an internal operating choice	Draft the control and name its owner	Ownerless policy text
Rule depends on law, contract or platform terms	Verify and cite the governing source	Unsupported compliance claim
Exception could expose people, rights or confidential data	Escalate before approval or publication	Irreversible harm or liability

Workflow

1. Confirm the consumer, objective, market, decision owner and permission boundary; stop if the objective or owner is missing.
2. Inspect supplied evidence and verify volatile claims; record missing inputs rather than filling them with assumptions.
3. Apply the decision rules, preserve useful existing material and draft the Ai Ip And Copyright policy and implementation checklist.
4. Test each action against platform, privacy, safeguarding, brand and approval constraints; stop and escalate a blocking risk.
5. Run the quality and anti-slop gates. If a check fails, correct the draft and rerun it before handoff.

Outputs

Artefact	Consumer	Acceptance condition
Ai Ip And Copyright policy and implementation checklist	Client owner and delivery team	Uses named inputs, assigns actions, states decisions and contains no unverified specifics
Assumption and gap register	Approver or next workflow	Every missing source, unassessed check and required approval has an owner or next action

Evidence Produced

Evidence	Format	Acceptance condition
Decision and verification record	Inline table or appendix	Each material choice traces to an input, source or labelled assumption
Release-gate result	Completed checklist	No blocking policy, factual, permission or anti-slop finding remains

Quality Standards

Use British English and the specified market context. Recommendations must be executable with the stated capacity, current claims must be verified or qualified, and acceptance conditions must be observable. A worked example must use a labelled scenario, not fabricated client evidence.

Anti-Patterns

• Inventing a client fact, benchmark, budget or approval. Fix: cite the source or label the assumption and its effect.
• Copying one channel or client pattern unchanged. Fix: tie each choice to the named audience, objective and evidence.
• Stating volatile platform or legal details from memory. Fix: verify the current official source or omit the claim.
• Treating an inaccessible account, file or metric as healthy. Fix: mark it not assessed and bound the conclusion.
• Publishing, spending, messaging or changing production state from planning authority. Fix: obtain explicit action authority.
• Delivering actions without owner, timing or acceptance. Fix: assign all three or return the item as an unresolved gap.

References

• Anti-AI-slop production gate
• East African English standard
• Use the directly cited sources and companion skills in the domain guidance below; verify time-sensitive claims before use.

Purpose

This skill produces a standalone policy document that the agency can hand directly to clients when questions arise about intellectual property ownership, copyright eligibility, and disclosure of AI-assisted work. The document is based on current UK, US, and EU legal frameworks as summarised in Ching and Mothi (2025) AI for Creatives: Unlocking Expressive Digital Potential (CRC Press).

Scope note: This policy summarises the legal landscape as understood at the time of publication. It does not constitute legal advice. For contract-specific IP clauses or disputes, refer the client to a qualified IP solicitor.

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Required Inputs

Ask for the following before generating the policy document:

1. Client business name — the organisation receiving the policy
2. Industry — sector in which the client operates
3. Country / city — jurisdiction(s) relevant to the client's operations
4. Primary goal — why the client is requesting this document (e.g., contractual clarity, investor due diligence, internal governance, creative team guidance)
5. Delivery types — which categories of AI-assisted deliverables the agency produces for this client (e.g., social media copy, visual assets, long-form content, audience personas, strategy documents)
6. Human review depth — describe the current level of human editorial involvement in the agency's AI-assisted workflow for this client

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Part 1: IP Ownership — Who Owns AI-Assisted Deliverables?

The Central Question

When the agency uses AI tools to produce content on behalf of a client, who holds the intellectual property? The answer depends on three factors:

1. The degree of human creative contribution applied by the agency
2. The jurisdiction(s) governing the contract
3. The contractual terms agreed between the agency and the client

Agency Position

The agency retains copyright in all deliverables produced using AI tools where a human editor, strategist, or writer has made substantive creative decisions in the process — including selection, arrangement, modification, and editorial judgement. Such deliverables are then assigned or licensed to the client under the terms of the engagement contract.

Where a deliverable is generated substantially without human creative input, no copyright protection is available under current law in the UK, US, or EU (see Part 2). In those cases, the deliverable enters the public domain and cannot be protected.

Practical implication: The agency's standard workflow applies human review and editorial modification to all AI-assisted deliverables before client delivery. This is both a quality standard and a legal necessity.

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Part 2: Copyright Qualification Threshold

Jurisdiction-by-Jurisdiction Summary

United Kingdom — Copyright, Designs and Patents Act 1988 UK law is unique in recognising "computer-generated works" where there is no human author. Section 9(3) grants copyright to "the person by whom the arrangements necessary for the creation of the work are undertaken." However, the threshold for what qualifies as sufficient "arrangement" is untested in UK courts for generative AI. The safe position is to ensure substantive human creative input at every stage. Works created solely by machine with no human creative selection or arrangement do not qualify for protection under the standard literary/artistic works provisions.

United States — Title 17, §102(a), US Copyright Act The US Copyright Office has issued formal guidance (2023) that copyright protection does not extend to works created solely by AI. Human authorship is a constitutional and statutory requirement. The Office has granted protection to human-selected and arranged components of AI-assisted works, but refused protection for AI-generated elements taken in isolation. The threshold test is whether a human made sufficiently creative choices in the selection, co-ordination, or arrangement of the final work.

European Union — Directive 2019/790 on Copyright in the Digital Single Market EU copyright law requires human authorship for protection. AI-generated content with no human creative contribution is not eligible for copyright under the Directive. The EU AI Act (2024) adds further obligations (see Part 3) but does not create new IP rights for AI outputs.

Minimum Human Contribution Standard

For the agency's deliverables to qualify for copyright protection in any of the above jurisdictions, the producing human must have made at least one of the following:

• Substantive selection of which AI outputs to use and which to discard
• Meaningful editorial revision of the AI-generated text or imagery
• Creative direction decisions about structure, tone, emphasis, or arrangement
• Original framing, brief-writing, or prompt authorship that constitutes independent creative expression

A human who merely presses a button and accepts unmodified AI output without creative judgement has not met this threshold.

The WGA 2023 Standard

The Writers Guild of America's 2023 Master Basic Agreement established a professional authorship standard that the agency adopts as its benchmark:

• AI-generated material cannot be credited as the work of a writer
• Writers retain full creative credit even when AI tools are used in the production process
• Studios and clients must disclose AI use when it affects authorship claims
• No creative professional can be mandated to use AI as a substitute for their own creative labour

Agency application: The agency's name and the name of any credited human creator may only appear on a deliverable where a human has made substantive creative decisions. AI is used as a production tool, not as a credited author.

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Part 3: Disclosure Obligations

EU AI Act — Article 4 (Labelling Obligation)

Under the EU AI Act, providers and deployers of AI systems must ensure that content generated by AI is labelled as such when it is likely to be perceived by an audience as authentic human-created content. This obligation applies to:

• Synthetic images, audio, and video (deep fakes and AI-generated media)
• AI-generated text presented as human-authored
• AI-generated personas presented as real individuals

Agency standard — Specific, Not Vague Disclosure

Vague disclosure ("made with AI") does not meet the spirit of the Act or the agency's professional standard. Apply the following disclosure language where relevant:

"This [content type] was produced using AI-assisted tools under human editorial direction. The creative brief, final selection, and editorial decisions were made by [Agency Name]."

Where AI has generated only supporting or draft elements and the final published work is substantially human-revised, apply:

"AI tools were used in the drafting process. All published content has been reviewed, edited, and approved by [Agency Name]."

EU AI Act — Article 28b(4) (Human Oversight Mandate)

For high-risk AI applications, Article 28b(4) requires that humans retain meaningful oversight and the ability to override AI decisions. The agency's editorial review process is designed to satisfy this requirement for all content deliverables.

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Part 4: Provenance Tracking and Watermarking

Why Provenance Matters

As AI-generated content becomes indistinguishable from human-created content, clients face reputational, legal, and commercial risks if the provenance of their content cannot be verified. Provenance tracking creates an auditable record of how content was produced.

SynthID (Google/DeepMind)

SynthID is Google DeepMind's standard for watermarking AI-generated audio and images at the point of generation. Watermarks are embedded in the content itself and can be detected even after standard post-processing. The agency recommends:

• Use SynthID-compatible tools for AI-generated audio assets wherever available
• For AI-generated images, use equivalent watermarking tools (e.g., C2PA-compliant tools supporting the Coalition for Content Provenance and Authenticity standard)

Agency Provenance Protocol

For each AI-assisted deliverable, maintain an internal production record that captures:

1. The AI tool(s) used and version number
2. The prompt or brief submitted to the AI system
3. The name of the human reviewer who applied editorial judgement
4. A description of the substantive changes made to the AI output
5. The date of final human sign-off

Retain production records for a minimum of three years. Make them available to clients on request and to legal counsel in the event of an IP dispute.

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Part 5: Standing Legal Referral

When to Escalate to an IP Solicitor

Refer the client to a qualified IP solicitor in the following circumstances:

• The client intends to register copyright in an AI-assisted work
• The client's contract with a third party requires warranties of originality for AI-assisted deliverables
• A third party has made a copyright infringement claim against the client or the agency relating to AI-generated content
• The client operates in a regulated sector where AI-generated content may be subject to additional disclosure or compliance requirements
• The client is an employer seeking to claim copyright in AI-assisted works produced by employees or contractors
• The engagement involves AI-generated content in jurisdictions other than the UK, US, or EU where the legal framework is less established

Recommended Referral Language

"This document summarises the agency's policy and our understanding of the current legal framework. It is not legal advice. For contractual IP warranties, copyright registration, or dispute resolution, please consult a qualified intellectual property solicitor with experience in AI and digital content law."

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Quality Criteria

A well-produced policy document under this skill:

• Accurately represents the state of UK, US, and EU copyright law without overstating protections or understating risks
• Uses plain professional language that a non-lawyer client can read and act on without confusion
• Makes the agency's standard of human creative contribution explicit and measurable, not vague
• Applies the WGA 2023 authorship standard as a professional benchmark that clients can recognise
• Specifies disclosure language that is precise enough to meet EU AI Act Article 4 obligations
• Includes a provenance protocol with named tools and a clear retention period
• Distinguishes clearly between what the agency can advise on and what requires a qualified IP solicitor
• Is formatted as a document the agency can hand directly to a client without further editing

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References

• Ching, V. and Mothi, D. (2025) AI for Creatives: Unlocking Expressive Digital Potential. CRC Press.
• UK Copyright, Designs and Patents Act 1988, Section 9(3)
• US Copyright Act, Title 17, §102(a)
• EU Directive 2019/790 on Copyright in the Digital Single Market
• EU Artificial Intelligence Act (2024), Articles 4 and 28b(4)
• Writers Guild of America (2023) Minimum Basic Agreement — AI provisions
• US Copyright Office (2023) Copyright and Artificial Intelligence — guidance documents
• Google DeepMind (2023) SynthID — watermarking standard for AI-generated audio and images
• Coalition for Content Provenance and Authenticity (C2PA) — open standard for content credentials