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AWS Certified AI Practitioner AIF-C01 Practice Question

Within responsible AI practices, what does the term "explainability" most closely describe when evaluating a machine-learning model?

  • The degree to which a model's predictions can be understood by humans, including the factors that influenced each output.

  • The ability of a model to minimize bias and ensure equal accuracy across demographic groups.

  • The practice of protecting sensitive training data through encryption and access control.

  • The resilience of a model to adversarial inputs and unexpected data drift.

AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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