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Showing all posts tagged with "Model Interpretability"
Organizations are deploying machine learning at scale, but trust and accountability are now essential. Explainable AI provides clarity about how models make decisions, improving confidence, compliance, and performance.
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.