AI Maintainability (AIM)

Maintainability refers to an organization's capacity to handle modifications made to an AI system in order to fix bugs or adapt to new requirements. This ability is related to maintainability. It is necessary to conduct research into both the maintainability of AI systems and the implications of such systems because AI systems that are based on ML require training and do not use a rule-based approach.

Controls related to this risk category are listed as below:

  • AIM 01 - AI Maintainability Strategy

  • AIM 02 - Measurable Continuous Improvements

  • AIM 03 - Sustained Value Mechanism

  • AIM 04 - AI Deactivation Mechanism

Last updated