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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #43

When developing an LLM application, it's crucial to ensure that the data used for training the model complies with licensing requirements to avoid legal risks. Which action is NOT appropriate to…

The correct answer is D. Reach out to the data curators directly after you have started using the trained model to let them. Reaching out to data curators after you have already begun using the trained model is NOT appropriate because legal exposure has already occurred-you may have trained on data you had no right to use. The correct practice is to obtain permission before any use. Option A…

Responsible AI Development

Question

When developing an LLM application, it’s crucial to ensure that the data used for training the model complies with licensing requirements to avoid legal risks. Which action is NOT appropriate to avoid legal risks?

Options

  • AReach out to the data curators directly before you have started using the trained model to let
  • BUse any available data you personally created which is completely original and you can decide
  • COnly use data explicitly labeled with an open license and ensure the license terms are followed.
  • DReach out to the data curators directly after you have started using the trained model to let them

How the community answered

(22 responses)
  • A
    5% (1)
  • C
    5% (1)
  • D
    91% (20)

Explanation

Reaching out to data curators after you have already begun using the trained model is NOT appropriate because legal exposure has already occurred-you may have trained on data you had no right to use. The correct practice is to obtain permission before any use. Option A (reaching out before use) is proactive and appropriate. Option B (using your own original data) is always safe. Option C (using data with explicit open licenses and following their terms) is the standard best practice. Starting first and asking forgiveness later (Option D) creates real intellectual property and licensing liability.

Topics

#Data Licensing#Legal Compliance#LLM Data Sourcing#Responsible AI

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