Inter-dependencies

  • Rversion finale: Australia
  • Mis à jour 12 mars 2026
  • 1 minute de lecture

    • Explore the inter-dependencies of AI systems, AI models, and datasets.

    An AI system operates as part of a larger framework, closely connected to the AI model powering its capabilities and the datasets that shape its behavior. While these elements are interrelated, each plays a unique role and should be clearly identified to confirm effective governance.

    Overlooking any aspect, such as the training dataset or the model supporting an AI feature can result in incomplete risk assessments, audit challenges, or compliance issues.

    Comprehensive responsible AI governance requires attention to all these components:

    • Inventory for each AI system
    • Identify the associated AI model
    • Document the dataset

    For a visual example of how these elements interact, see Example of an AI system

    For information on Model asset classes, see Model asset classes

    For information on AI assets API, see AI Assets API