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Better than the Real Thing? Promises and Perils of Synthetic Data: An Overview of Professor Peter Lee’s Essay Published in VERDICT

EXECUTIVE SUMMARY: Professor Peter Lee’s VERDICT essay argues that synthetic data may revolutionize AI development by providing scalable, legally safer training material. Yet he warns that artificial datasets introduce new risks such as model collapse, bias, and misuse that demand proactive legal oversight. Rather than replacing existing regulatory debates, synthetic…

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