Posted On: Dec 3, 2019
HAQM Augmented AI (HAQM A2I) makes it easy to build the workflows required for human review of ML predictions. A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.
Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers.
HAQM A2I makes it easy to build and manage human reviews for machine learning applications. HAQM A2I provides built-in human review workflows for common machine learning use cases, such as content moderation and text extraction from documents, which allows predictions from HAQM Rekognition and HAQM Textract to be reviewed easily. You can also create your own workflows for ML models built on HAQM SageMaker or any other tools. Using A2I, you can allow human reviewers to step in when a model is unable to make a high confidence prediction or to audit its predictions on an on-going basis.
HAQM A2I is now available in public preview in the US East (N. Virginia) AWS Region. Get started quickly with HAQM A2I free tier. To learn more about HAQM A2I, check out the website and the developer guide.