An organization has exhausted its internal data sources to train an AI model.

When seeking external data for AI training, organizations must navigate significant legal and ethical risks regarding Intellectual Property (IP). " Copyright-free data " (or data used under clear licensing) is the safest and most ethical source. Using " web-scraped " data (Option A) without permission often leads to copyright infringement lawsuits and regulatory violations (e.g., using personal data without consent). " Shadow data " (unmanaged internal data) poses security risks. For long-term sustainability and audit compliance, using properly licensed or public-domain data ensures the model ' s outputs do not violate the IP rights of third parties.