Copyright and authorship
Understand the difference between making an image, owning rights in it, licensing it and being able to prove meaningful human contribution.
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A practical guide to copyright, ownership, client contracts, AI training, disclosure and evidence for visual creators working with AI-assisted images.
The handbook is written for professional visual work: client jobs, licensing discussions, AI-assisted production, platform rules, recordkeeping and the questions that come up after delivery.
Book overview
This is not a dense legal textbook. It is a practical reference for reading the project before you promise ownership, exclusivity, disclosure, AI use or future permissions you may not actually mean to grant.
Made for
Understand the difference between making an image, owning rights in it, licensing it and being able to prove meaningful human contribution.
Use clearer language around AI-assisted production, training restrictions, synthetic derivatives, exclusivity and future campaign use.
Build a practical record of tools, inputs, approvals, decisions and final delivery so the work can be explained later.
Five questions framework
Reader resources
Practical forms, checklists and reference sheets designed to be used alongside the handbook during real client projects.
A practical checklist for recording the project, permissions, AI use, human contribution, approvals and evidence.
A quick guide to deciding when AI use may need to be disclosed to a client, subject, platform or audience.
A working record for documenting the tools, inputs, human contribution, approvals, rights position and final delivery of an AI-assisted project.