Independent thinking on AI governance, measurement, enterprise adoption, workforce change, risk, and the decisions institutions must be prepared to defend.
AI systems often fail because organizations confuse benchmark performance with real-world deployment capability. The gap is measurable before commitment, if leaders ask the right questions.
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If a 27-billion-parameter AI model can run locally on an iPhone, the future of artificial intelligence may shift away from massive cloud data centers…
Continue readingAI governance begins with knowing who answers for what your systems do. Reach out about advisory work, executive briefings, research, teaching, or speaking.
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