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AI Governance

If you're shipping AI in a regulated industry and you can't explain it to an auditor, you have a problem. These posts cover the compliance landscape, risk frameworks, and the practical side of responsible AI — not the theoretical kind.

What You'll Find Here

  • Production-focused implementation patterns for AI Governance.
  • Architecture and tooling decisions that hold up beyond prototypes.
  • Evaluation and reliability practices to keep AI systems trustworthy.
  • Focused tracks: Compliance & Regulation, AI Readiness.

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