In Brief
- The U.S. Government needs to ready its data for AI by enhancing quality, enforcing governance, and implementing ongoing quality checks.
- Synthetic data's role in AI training is valuable but requires careful management to avoid biases and model collapse.
- Differentiating synthetic from organic data is critical, necessitating clear data structures and tagging protocols for transparency and trust.
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