AIF-C01 Question #65: Real Exam Question with Answer & Explanation

Question

Which practices are essential for selecting datasets to ensure responsible AI? (Choose two.)

Options

• ABalancing datasets to prevent over-representation of any group.
• BPrioritizing large datasets without regard to representativeness.
• CUsing only open-source datasets.
• DEnsuring inclusivity and diversity in dataset sources.

Explanation

Essential practices for responsible AI dataset selection include balancing datasets to prevent over-representation and ensuring inclusivity and diversity in their sources.

Common mistakes.

• B. Prioritizing large datasets without considering representativeness can exacerbate existing biases within the data, leading to models that perform poorly or unfairly for underrepresented groups.
• C. While open-source datasets can be valuable, restricting dataset usage to only open-source options is not a primary practice for ensuring responsible AI, as proprietary datasets can also be ethically sourced and curated.

Concept tested. Responsible AI dataset practices

Reference. https://aws.amazon.com/blogs/machine-learning/building-responsible-ai-systems-with-amazon-sagemaker-clarify/

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