Which item is NOT part of the AI Canvas framework?

Which item is NOT part of the AI Canvas framework?

• A. Prediction
• B. Outcome metrics
• C. Training data
• D. Data governance

Answer: (D)

The main idea here is distinguishing which items are direct components of the AI Canvas and which belong to broader governance practices. The AI Canvas centers on what the model does in practice: the predictions it will generate, the data it uses to learn, and how those results are judged. Data governance isn’t a direct canvas element. It covers overarching policies, controls, and processes around data quality, privacy, access, retention, and compliance. It enables responsible AI work, but it isn’t one of the canvas’s core building blocks. The elements that do belong on the canvas are the model’s predictions (the outputs you expect from the system), the training data (the data you feed into the model to learn patterns), and the outcome metrics (how you measure whether the predictions meet your goals). These components describe the model’s behavior, its data foundation, and how success is defined and evaluated.

The main idea here is distinguishing which items are direct components of the AI Canvas and which belong to broader governance practices. The AI Canvas centers on what the model does in practice: the predictions it will generate, the data it uses to learn, and how those results are judged.

Data governance isn’t a direct canvas element. It covers overarching policies, controls, and processes around data quality, privacy, access, retention, and compliance. It enables responsible AI work, but it isn’t one of the canvas’s core building blocks.

The elements that do belong on the canvas are the model’s predictions (the outputs you expect from the system), the training data (the data you feed into the model to learn patterns), and the outcome metrics (how you measure whether the predictions meet your goals). These components describe the model’s behavior, its data foundation, and how success is defined and evaluated.