AI tools raise questions about consent, authorship, and trust that go beyond technical use. This section focuses on practical risks—like disclosure, documentation, and responsibility—and how to handle them through clear agreements and transparent workflows.
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Consent and Digital Replicas: What Creators Should Know
Digital replicas let you recreate someone’s face, voice, or performance using AI or visual effects. These tools open up creative …
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Risk Checklist for Using AI in Client Work: Disclosure, Releases, and Archiving
Client work comes with deadlines, approvals, and delivery pressure. AI tools can speed up production, but they also bring new …
Content Credentials and Provenance (C2PA): A Creator Workflow
When you post images or videos online, those files can travel far from where they started. They can be cropped, …
Copyright and AI Training Data Basics Explained for Filmmakers
Copyright and training data are about whether an AI system can legally copy and process protected work (scripts, footage, stills, …
Explaining the EU Act on AI, Deepfakes and Disclosure. A Practical Guide and Breakdown of What it means for Creators and Film
The EU AI Act deepfake disclosure is a transparency rule that requires a clear notice when AI is used to …