Self-Modification

Self-modification in AI systems refers to the capability of an AI model or agent to alter its own code, parameters, weights, or behavior without explicit human intervention. This capacity poses significant governance challenges because organizations must ensure such changes remain aligned with intended objectives, maintain compliance with regulatory requirements, and prevent unintended drift from approved operating parameters. For enterprise AI governance, self-modification raises critical questions about auditability, control mechanisms, and the need for robust monitoring systems that can track and validate any autonomous changes to system behavior.

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