Human-Centered AI and Accessibility
Details
With ChatGPT and OpenAI in the news, there’s a lot of hype around AI. Despite all the recent progress in the field, AI and ML can be seen as dirty words in the digital accessibility community.
Some solutions claim that using AI can solve all digital accessibility issues on a page like a magic pill. However, neural networks like ChatGPT don’t work well for digital accessibility because it’s trained on a very large general dataset of all the code on the internet that is mostly inaccessible.
The truth is that AI-augmented tools can be ethical if they are built by accessibility experts and used to simplify the testing process. AI can significantly expand what is possible for automated accessibility testing and lower the barrier of entry for non-experts to do manual testing.
Attendees of this session will learn:
- What computer vision and human-centered AI are and how they can be used to help digital accessibility testing.
- The unique challenge of creating a specialized AI system to help analyze user interfaces to test for digital accessibility.
- How AI-augmented tools can significantly improve the efficiency of the digital accessibility testing process.
