AI Infrastructure, Safety & Ethics

Building and deploying AI at scale requires robust infrastructure and a principled approach to safety and ethics. This category covers the technical stack — model hosting, GPU infrastructure, MLOps pipelines, monitoring, and observability — alongside the governance frameworks that ensure AI systems are fair, transparent, and accountable. As AI becomes embedded in critical business processes, understanding these terms is essential for engineering, product, and leadership teams alike.

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