AI training data poses greater legal risk to companies than model outputs, lawyers argue
AI-summarised brief · reviewed before publication
Lawyers argue that AI training data poses a greater legal risk to companies than model outputs, as it often involves intellectual property and privacy dangers. Large-scale AI models require enormous quantities of training data, which can lead to copyright infringement and patent exposure. Companies must navigate these risks before considering output liability, and documenting data sources can help in litigation. Key risks include copyright and patent infringement.
💡 Why It Matters
- · Patent exposure at the input stage can be particularly disruptive, as companies may face direct or induced infringement liability for methods learned from training data.