Update the IP policy to address AI-generated output | AIGP
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Update the IP policy to address AI-generated output: What is the most appropriate governance response before

AIGP Understanding the Foundations of AI Governance Medium

Update the existing IP policy to cover AI-output ownership and training-data use before deploying the tool.

The question

A company's intellectual-property policy predates generative AI and does not address ownership of AI-generated content or the use of third-party data in training. What is the most appropriate governance response before deploying a generative tool?

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  1. Leave the IP policy unchanged, since content produced by an AI system falls outside all intellectual-property concerns
    Plausible but wrong: AI-generated content and training data raise real IP questions that the policy must address.
  2. Delete the existing IP policy entirely and rely on the AI vendor's terms of service to govern content ownership
    Plausible but wrong: outsourcing IP governance to a vendor's terms abandons the company's own policy obligations.
  3. Update the IP policy to address AI-generated output ownership and lawful use of training data before deployment ✓
    Correct: the objective calls for evaluating and updating existing IP policy to cover AI before deployment.
  4. Defer any policy review until after deployment, addressing IP questions only if a dispute or complaint later arises
    Plausible but wrong: waiting for a dispute is reactive; the policy gap should be closed before deployment.
The trap
Assuming AI-generated content and training data fall outside intellectual-property concerns.

How to remember it

Update the existing IP policy to cover AI-output ownership and training-data use before deploying the tool.

How many of these would you get right?

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