Guest
Artificial intelligence (AI) and machine learning (ML) are some of the most transformative technologies we will encounter in our generation - tackling some of humanity’s most challenging problems, improving customer experiences, and spurring new innovations. Along with the growing use and scale of AI comes the recognition that we must all use it responsibly, respecting human rights, dignity, and the critical values of inclusiveness equity, privacy, and fairness. In this session learn how to make responsible AI an integral part of the entire AI/ML lifecycle including design and development, deployment, and ongoing use. We will share the tools, guidance, and resources you need to get started and help implement responsible AI across your organization. Learning Objectives: * Objective 1: Understand the key elements that encompass responsible AI and what make it an emerging, complex focus area. * Objective 2: Dive deep into the entire AI/ML lifecycle and the role of responsible AI in data, model building, and continuous testing. * Objective 3: Learn how purpose-built services like Amazon SageMaker Clarify and Amazon Model Monitor can help you mitigate bias and provide insights into model predictions. ***To learn more about the services featured in this talk, please visit: ****To download a copy of the slide deck from this webinar visit: Subscribe to AWS Online Tech Talks On AWS: @AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: Twitch: Twitter: Facebook: Instagram: ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS
