AI Risk Framework

An AI risk framework is a structured approach that organizations use to identify, assess, and mitigate potential harms and failures associated with artificial intelligence systems. These frameworks help enterprises systematize governance by establishing categories of risk (such as algorithmic bias, data privacy violations, or model drift), defining risk tolerances, and assigning accountability for monitoring and response. For compliance and governance purposes, a robust AI risk framework serves as the foundational document that demonstrates due diligence to regulators, enables consistent decision-making across AI projects, and supports proactive management before incidents occur.

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