Testing and Advocating for Accessible AI

As artificial intelligence becomes deeply integrated into everyday software, ensuring these systems are accessible to everyone is a critical necessity. Understanding how to evaluate AI interfaces and outputs for accessibility is an essential skill for modern product creators, developers, and advocates. This text-only course guides you from foundational concepts to practical evaluation strategies. You will learn how to systematically test AI applications, identify barriers in AI-generated content, and apply global accessibility standards to ensure technology serves all users, regardless of their abilities. What you'll learn: - Understand foundational accessibility concepts and how they apply specifically to AI-driven interfaces. - Evaluate AI-generated outputs, including conversational user interfaces and dynamic content, for digital accessibility barriers. - Apply WCAG guidelines and modern compliance standards to AI-powered products. - Implement structured testing workflows to identify usability issues in machine learning applications. - Advocate for inclusive design practices and accessible AI policies within your team or organization. The course begins with key terminology, basic concepts, and foundational definitions of digital accessibility. You will then progress through clear, written explanations and practical evaluation scenarios designed to help you audit AI systems and communicate findings effectively. This course is designed for beginners, product managers, designers, and tech advocates who want to make AI more inclusive. No prior experience in accessibility testing or AI development is required. Start reading today to build the skills needed to champion accessible AI for everyone.