Images carry meaning, but that meaning is often lost for people who rely on alternative text. While AI is widely used to generate images from prompts, its role in describing existing images is frequently overlooked. This session focuses on how modern AI models can generate useful, accurate alternative text for complex visuals, including infographics, charts, and data heavy graphics. The talk examines where automated descriptions work well, where they fall short, and how to use them responsibly to improve accessibility without introducing confusion or bias.

What You Will Learn

• How AI models can generate alternative text for complex images such as charts and infographics

• Best practices for producing clear, meaningful, and accessible image descriptions

• Limitations and ethical considerations when using AI for automated alt text

Who Should Attend

• Front end and web developers

• UX and accessibility practitioners

• Designers working with data visualizations

• Engineering teams responsible for inclusive digital experiences