Legal landmines surround major large language models (LLMs) due to unknown training data that may violate copyright, patents, and privacy laws. Despite extensive data fine-tuning, enterprises lack insights into the reliability and compliance of the underlying database used for LLMs. Major developers do not provide visibility about the age or verification of their training data, raising questions about legality. Enterprises may face significant legal ramifications, as many knowingly use data that could constitute copyright violations. Liability could arise if organizations are judged to have ignored potential risks related to training data usage.
The risks are practically endless. Enterprises are investing billions in generative AI initiatives while ignoring doubts about future legal exposures. Major model makers provide no visibility into their training data.
Data used for training lacks sufficient visibility regarding its reliability, age, and compliance with privacy and copyright regulations. Even source lists often offer no meaningful insight or verification.
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