A company is using AI to build a toy recommendation website that suggests toys based on a customer's interests and age. The company notices that the AI tends to suggest stereotypically gendered toys.
Which AWS service or feature should the company use to investigate the bias?
Comprehensive and Detailed Explanation From Exact AWS AI documents:
Amazon SageMaker Clarify is designed to detect and explain bias in ML models and datasets.
AWS Responsible AI guidance recommends Clarify to:
Identify bias in predictions
Analyze feature attribution
Support fairness and ethical AI practices
Why the other options are incorrect:
Rekognition (A) analyzes images, not recommendation bias.
Amazon Q Developer (B) assists developers with code.
Comprehend (C) performs NLP tasks, not bias analysis.
AWS AI document references:
Amazon SageMaker Clarify Documentation
Detecting Bias in AI Systems
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