Responsible Artificial Intelligence Practices

In this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the core dimensions of responsible AI. Then, you will dive into some topics for developing responsible AI systems. You will be introduced to the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems. Finally, you learn about transparent and explainable models. You will gain a solid understanding for what it means for a model to be transparent and explainable. You will also explore tradeoff considerations for transparent models and the principles of human-centered design for explainable AI. This course includes interactive elements, text instruction, illustrative graphics and knowledge checks.

• Defining and applying responsible AI principles
• Model selection with ethical and human-centered considerations
• Designing transparent and explainable AI systems
• Utilizing AWS services to support responsible AI development

• Understand the principles of responsible AI and its core dimensions, including fairness, privacy, and robustness
• Learn how to evaluate and select models based on transparency, explainability, and ethical design criteria
• Gain practical knowledge of AWS tools that help build accountable and trustworthy AI systems

• Interactive content with knowledge checks and visual instruction
• Real-world frameworks for responsible AI development
• Guidance on transparent models and explainability tradeoffs
• Certificate of completion