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.