Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 39 discussion

Amazon SageMaker Clarify is specifically designed to help make machine learning models more transparent and explainable by generating metrics and reports on model bias, data bias, and feature importance.

B is the correct answer

A melhor opção para garantir transparência e explicabilidade do modelo seria B. Gere métricas, relatórios e exemplos simples usando o Amazon SageMaker Clarify. Esse serviço da AWS foi desenvolvido para fornecer insights sobre o comportamento dos modelos de aprendizado de máquina, identificando vieses, medindo a importância das características e garantindo maior interpretabilidade. Isso atende diretamente aos requisitos regulatórios que exigem que os modelos sejam compreensíveis e justificados.

Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify: Amazon SageMaker Clarify helps provide transparency and explainability to machine learning models by generating metrics, reports, and visual explanations of the model’s predictions. This is crucial for meeting regulatory requirements in domains like healthcare, where understanding how a model arrives at its decisions is essential for validation and trust. SageMaker Clarify also helps identify potential biases in the model, which is important for ensuring fair and responsible use of AI.

B. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify. Amazon SageMaker Clarify helps in identifying bias and explaining predictions made by machine learning models, which aligns well with the need for transparency and explainability to meet regulatory requirements.