HumenhukAIGP Study Guide
Module 5: Existing Laws & AI, BoK III.B

Licensing AI Models and Data

Reviewed by Victor Humenhuk. Published . Reviewed .

The contract is where IP risk gets managed. Traditional IP indemnities break down for AI because they exclude modifications, combinations and out-of-scope use - all inherent to AI. Licensees should insist on minimum performance metrics, warranties and a trial period. The fictional scenario below illustrates the cost of undefined ownership.

Who owns the data, who may use it, and who pays when it goes wrong. The contract is where IP risk gets managed.

What licensing terms regulate:

  • Designating model components as trade secrets.
  • Protecting components → limiting use rights, designating confidential information, restricting its use.
  • Assignment rights in model evolutions from one party or the other.
  • Licence and use rights per model component; rights in the T&Cs.
  • Liability and indemnification
The indemnity problem

Traditional IP indemnities exclude → modifications, unauthorised combinations, use beyond authorised scope. For AI models these exceptions break down, because by design the model must be trained (a modification), must be combined with training and production data, and may evolve beyond a pre-set scope over time.

What licensees should insist on: many models are still experimental → demand minimum performance metrics (accuracy, reliability, robustness), contractual warranties and indemnities against underperformance, testing and validation before licensing and on an ongoing basis, a trial period helps.

GenAI outputs: if an AI generates a work → who owns the copyright, the developer or the user? Scraping public sources risks IP misuse, and AI makes infringement harder to detect and enforce when works are similar but not identical to existing ones.

Fictional scenario. Design ownership

In this fictional scenario, ownership of AI-generated product designs is ambiguous. A governance framework should define ownership attribution, and vendor agreements should specify IP rights. Without those terms, the parties may develop conflicting ownership claims and face a costly dispute.

Key terms - quick answers

What is “Fictional design ownership scenario”?
AI-generated design ownership is ambiguous until governance and vendor terms define ownership and IP rights.
What is “Indemnity problem”?
Standard IP indemnities exclude modifications, combinations and out-of-scope use - all inherent to AI, so they break down.

Sources and study method

This independent lesson uses active recall, spaced retrieval and scenario practice. Read the full study method.