Synthetic data, artificially generated data that mimics real datasets, offers a viable solution for privacy preservation in AI training. This approach can enable the development of robust AI models without exposing sensitive personal information, thus safeguarding individual privacy while still leveraging the benefits of advanced analytics.
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