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Data safety · Creative tools

Creative assets and likeness

Unreleased designs, other people's content, and faces and voices in image, video and design AI.

Start: Assets, rights and faces

About this pack

Creative assets and likeness teaches the judgment behind images, video and voice made with AI. Check your rights to what you upload, know what you can claim in what AI makes, and get written consent before you use someone's face or voice. You'll also practice disclosure labels for deepfakes and reading the Content Credentials that show how a file was made.

Best for: Designers, marketers, video makers and creators who use AI for images, video or voice, at a company or on their own.

Good for

  • Sorting which images and assets you may upload to an AI tool
  • Getting proper consent for avatars and voice clones
  • Writing clear AI disclosure labels
  • Checking Content Credentials before you trust or publish a file

Where people slip

  • Uploading a competitor's ad or a film still as a reference
  • Assuming you own the copyright in anything your prompt produced
  • Treating a missing Content Credential as proof a file is real
  • Using an old narrator contract to clone their voice
Can I copyright AI-generated images?

In the US, only the parts a human authored. The Copyright Office says prompts alone aren't enough. Your own edits, selection and arrangement can be protected, and a registration must disclose AI material that's more than minimal.

Do I need permission to make an AI avatar or voice clone of someone?

Yes. Get the person's own written consent for a defined use, how long it lasts and how they can withdraw it. Some US states, like Tennessee and California, add rules, and a face or voice can count as biometric data.

Do I have to label AI-generated content?

Sometimes. From 2 August 2026, the EU AI Act requires deployers to disclose deepfakes, with a lighter duty for clearly artistic or fictional work. New York requires ads to disclose synthetic performers the advertiser knows about. Client contracts can add more.

What are Content Credentials?

Provenance data, based on the C2PA standard, that records how a file was made and edited. Platforms often strip it, so a missing credential proves nothing. Durable Content Credentials add watermarks and fingerprints so the record can be recovered.

Milestone 1

Know what you may upload and claim

Sort creative inputs by rights and confidentiality, and know what protection AI-made work can get.

0 of 2 lessons complete
Assets, rights and faces3 exercises
Who owns what AI makes4 exercises
Milestone 2

Faces, voices and synthetic people

Get documented consent before you clone a face or voice, and label synthetic media wherever people could be misled.

0 of 2 lessons complete
Consent for avatars and voice clones4 exercises
Deepfakes and disclosure labels4 exercises
Milestone 3

Provenance and brand control

Keep Content Credentials intact, read them on incoming assets, and hold references and models to the rights your contracts give you.

0 of 2 lessons complete
Read and keep Content Credentials4 exercises
References, brand assets and contracts4 exercises