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Amazon Augmented AI (A2I)

Adds human review workflows for ML predictions.

Key points

  • Adds human review steps to machine learning prediction workflows.
  • Can route low-confidence or sensitive predictions to human reviewers.
  • Integrates with services such as Textract and Rekognition and can support custom ML workflows.
  • Helps balance automation with human oversight for accuracy, compliance, or business policy.
  • Uses human review workflows rather than training a model itself.

When to use it

  • Choose A2I when ML outputs need human review before final decisions.
  • Use it for document extraction review, content moderation review, or sensitive approval workflows.
  • Use it when the scenario mentions low confidence predictions or human-in-the-loop review.

Exam tips

  • A2I reviews predictions; Ground Truth labels training data.
  • A2I does not replace model monitoring, bias detection, or access controls.
  • Human review can improve trust but increases latency and operational cost.
  • Use A2I with Textract when extracted document fields need human verification.

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