What copyright / IP issues arise with LLMs in production?
hardAnswer
- (1) Training data: many LLMs are trained on copyrighted works (books, code, images) — ongoing lawsuits (NYT v OpenAI, Getty v Stability).
- (2) Output: models can regurgitate copyrighted text verbatim (rare but possible).
- (3) Code: models can output code covered by copyleft licenses (GPL) without attribution — Copilot lawsuit.
- Mitigations: attribute sources where possible, offer indemnification (OpenAI, Microsoft, Anthropic do for enterprise), keep an audit trail of prompts/outputs, and consult legal for high-risk domains (music, film).
Check yourself — multiple choice
- No copyright risk
- Training data (lawsuits), verbatim regurgitation, license-tainted code — mitigate via attribution, indemnification, audit logs, legal review
- Only for images
- Solved by open source
LLM IP: training suits + regurgitation + license leakage; mitigate via attribution + indemnification + audit.
#safety#production#reliability
Practise LLMs & GenAI
214 interview questions in this topic.