Responsible AI: Governance, Principles, and Practical Guide
Summary
Responsible AI has transitioned from a compliance afterthought into a core governance discipline that requires continuous monitoring, bias mitigation, and cross-functional collaboration across the entire development lifecycle. To navigate rising regulatory pressures like the EU AI Act and manage generative AI risks, organizations must implement practical safeguards ranging from secure data pipelines to immutable audit logs.
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