After a credit scoring model is deployed to production it produces outputs that adversely affect a protected class. Regulators demand to know who bears ultimate accountability for the model's outcomes throughout its entire lifecycle. Which governance role is accountable?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it this way: in real-world AI governance, model owner is exactly what teams reach for when they need to handle this scenario. The Model Owner holds ultimate accountability for the AI model throughout its entire lifecycle. On the exam, remember that this falls squarely under the 1.0 AI Governance Overview domain.
Full explanation below image
Full Explanation
The Model Owner holds ultimate accountability for the AI model throughout its entire lifecycle. When regulators seek accountability for model outcomes the Model Owner is the designated responsible party. The correct answer, "Model Owner", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("Model Developer", "Model Validator", "Model Ops Engineer") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 1.0 AI Governance Overview section of the certification exam.