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 most appropriate to…

Question

Options

• AOnly use data explicitly labeled with an open license and ensure the license terms are followed.
• BAny LLM outputs are reasonable to use because they do not reveal the original sources of data
• CReach out to the data curators directly to gain written consent for using their data.
• DUse any publicly available data as public data does not have legal restrictions.

• A
  91% (43)
• B
  4% (2)
• C
  2% (1)
• D
  2% (1)

Explanation

Option A - using only data that carries an explicit open license and strictly following its terms - is the safest and most legally defensible approach. Open licenses (e.g., Creative Commons, MIT, Apache 2.0) grant explicit, documented permission for specific use cases. Option B is incorrect and legally risky: LLM outputs can still embody substantial portions of copyrighted training data, and lack of source attribution does not eliminate liability. Option C (obtaining written consent from curators) is valid in specific cases but is not scalable and does not cover all licensing situations. Option D is a common but dangerous misconception - publicly available content is still protected by copyright by default; public availability and open licensing are not the same thing.

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