Part of the data strategy for generative AI is designing so that both the data inputs used to train and customize models, and the generated outputs of applications, include only information that is accurate and intended. Your goal is to be your own toughest auditor so you are prepared for whatever comes your way for compliance in the future. We will show you how to analyze data that is feeding your generative AI workflows, and how to implement safeguards to help prevent the use or display of unintended data and responses. Learn more about Amazon Bedrock Guardrails: go.aws/49GYHwT Get started with responsible AI tools and resources: go.aws/4cjzj2P Follow AWS OnAir: LinkedIn: bit.ly/AWSOnAir-LinkedIn Twitch: bit.ly/Twitch-AWS-OnAir Subscribe: More AWS videos: bit.ly/2O3zS75 More AWS events videos: bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community togeth...