Recent Writings
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Your AI governance assumes data is movable. It’s not. Data has mass, and mass creates gravity—here’s why governance must follow the data.
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XAI demands transparency. Zero-Knowledge demands opacity. In regulated AI, you can’t have both—here’s why verifiability replaces explainability.
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Organizations are shifting from promoting AI principles to demonstrating their responsible implementation as AI becomes integral to operations. Governance requires traceability and clear escalation paths to build trust. Documentation becomes essential leadership infrastructure, highlighting the need for organizations to provide evidence of their AI systems’ governance rather than merely supporting ethical statements.




