AI Copyright
The legal right to claim creative ownership over a particular asset or piece of media, whether produced with AI or not. A central tension in the FRAMES project was between achievable quality and ensuring copyright claimability.
Definition (from the paper)
- Copyright is the legal right to claim creative ownership over an asset or piece of media, whether produced with AI or not, specifically for control, reproduction, distribution and display.
Key questions raised
- How can legitimate ownership and copyright regarding AI-generated content be determined?
- If content is generated exclusively by AI without sufficient human creative input, can it be legally protected under copyright law, or are competitors free to copy it directly?
- What rights do original authors retain when their works are included in training sets?
- How can artists and publishers protect their works when copyrighted assets are extracted without explicit consent, attribution, or compensation?
FRAMES learnings
- The biggest tension in designing the human-AI hybrid workflow was between achievable quality and ensuring copyright claimability.
- Some AI tools flag identifiable copyrighted material as inputs; when the production already owns the rights, this safeguard is obstructive, which can lead to choosing less-protective tools for still-legitimate outputs.
- Legal indemnities (contractual safeguards against copyright infringement lawsuits) vary by training architecture and provider terms; their scope and void conditions are open questions.