Decisions · Policy · United States
Copyright safety for generative AI
Matthew Sag (Emory University School of Law) · 2023 · Proposal · non-binding
Can AI be trained on protected works?
Closer to freely allowed
Training is generally a lawful non-expressive use; the risk lies in memorised outputs
What it says
Sag places generative AI in the line of fair use cases on copy-reliant technology such as Google Books and HathiTrust. Models generally learn abstract features rather than copying expression, so training is usually non-infringing, but memorisation is a real risk in some settings, and he proposes copyright safety guidelines to reduce it.
The standard US account of why training can be fair use, and where it stops.
Sources
This record
Data as of 2026-10-21.
Drafted with AI assistance and checked against the sources linked above; not yet reviewed by a lawyer. Methodology
No changes logged yet. The change log started on 2026-10-20.