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Practical Governance for Enterprise AI

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Measurement Technology

Measurement technology encompasses tools and methodologies used to quantify AI system performance, behavior, and impacts across dimensions like accuracy, fairness, bias, latency, and resource consumption. For AI governance, robust measurement technology is essential because it enables organizations to establish baseline metrics, monitor compliance with regulatory requirements, and demonstrate accountability to stakeholders and regulators. Without standardized measurement approaches, enterprises cannot reliably assess whether their AI systems meet governance policies or detect harmful drift over time.

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