Access advice from Amazon Web Services (AWS), including considerations and recommendations based on real-world experience designing and operating artificial intelligence (AI) at scale. 

The guide focuses on:

• Responsible AI across the lifecycle from defining use cases and assessing risk to deployment and ongoing operation

• Shared responsibility between developers, deployers, and end users

• Governance mechanisms including risk assessment, documentation, testing, monitoring, and human oversight

Rather than prescribing a single approach, the guide offers a starting point you can adapt to your organization and regulatory context.

Download now to better understand how to integrate responsible practices into everyday AI development and operations.