TLDR Tech / Data
Synthetic data, real harm
Synthetic data addresses challenges of data scarcity, fairness, and privacy in AI development by enabling dataset augmentation, reducing bias, and bypassing regulatory hurdles, but introduces risks of data pollution, model collapse, and subtle privacy breaches.
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