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Showing all posts tagged with "AI Governance"
This post explores how explainable AI (XAI) is becoming a strategic requirement for machine-learning deployments, covers key techniques and lifecycle integration points, and highlights the trade-offs and governance considerations that informed organisations must address to maintain trust, compliance and sustainability.
In 2024, many organizations rushed to deploy generative AI and predictive systems into production. Yet few invested in ongoing oversight. Continuous model monitoring isn’t just a compliance checkbox—it’s the foundation for maintaining accuracy, fairness, and reliability as data and user behavior evolve.
