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Responsible AI for Regulated Industries: Principles, Frameworks, and How to Get It Right
Responsible AI is no longer optional for organizations that build AI with sensitive data. In healthcare, financial services, government, and other regulated industries, every AI system must be accurate, explainable, secure, and able to withstand regulatory scrutiny. That means proving how models were trained, protecting sensitive data throughout the AI lifecycle, reducing bias, and maintaining…