AI Usage Classifications™ provide nuanced language to classify to what extent AI is used in generating artefacts, content, and products. It helps creators, organisations, and consumers understand the role AI played in the creation process.

It allows people who are consuming or using information that has been created, to be viewed with the appropriate level of scrutiny depending on the scale of AI that was used to generate it. This transparency aims to build trust and reduce risk by ensuring the appropriate scale of rigour is applied in the case that the information is used as an input into decision-making or other content.

Check out page "How to guide"(https://www.aiuc.global/how-to) for details on how to select the badge and apply it to your work or product.

Anything AI contributes to, including documents, designs, videos, audio, software, datasets, marketing materials, reports, research papers, infographics, diagrams, and more.

A licence allows you to use the AI Usage Classifications™ badges and processes legally, access official templates and resources, and demonstrate compliance to clients and regulators.

Yes. All licensees must comply with the AI Usage Classifications™ Code of Practice, which outlines classification rules, badge usage, and compliance requirements.

No. Badges must be used exactly as provided to maintain consistency and protect the integrity of the standard.

The Licensor, AIUC Global, may review samples of your classified outputs, request evidence of classification decisions, or conduct audits if misuse is suspected.

Non-compliance can result in loss of your license, removal from the register, and potential legal action for intellectual property misuse by the client or the local government body.

Yes, but only if you are approved as an authorised reseller or ambassador, with separate terms covering referral fees, responsibilities, and closing agreements.

If you release an editable document outside your control (e.g. a Word or PowerPoint file), it must display an “Uncontrolled” indicator to avoid classification misrepresentation.