Fast AI innovation means little if its behavior cannot be explained. Regulated systems demand architectures that balance learning speed with continuous trust.
AI innovation is accelerating globally.
But speed alone does not create trust.
In regulated environments, every inference must remain traceable. Every dataset must be auditable. Every output must be explainable.
The future requires architectures that support:
Innovation without integrity is acceleration without direction.
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