AWS Certified AI Practitioner AIF-C01 Practice Question
Under the principle of human and AI learning in human-centered design for explainable AI, an explanation should primarily help users do which of the following?
Identify the exact hyperparameters the model used during training
Prevent any changes to the model's output to maintain consistency
View the model's numerical confidence score without additional context
Understand the model's reasoning well enough to provide feedback that can improve the model over time
Human-centered design stresses that explanations serve a dual purpose: they not only clarify how the model reached its output, but also enable users to give better feedback that can be used to refine future model behavior. By supporting user understanding and facilitating iterative improvement, the system creates a learning loop for both the human and the AI. Merely showing model confidence, hiding technical details, or preventing user corrections does not foster this two-way learning process.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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