Learn About Digital Accessibility and Artificial Intelligence
Learning Objectives
After completing this unit, you’ll be able to:
- Define digital accessibility and its core principles.
- Summarize the benefits of digital accessibility for all users.
- Define AI and generative AI.
- Explain core artificial intelligence capabilities and their applications in building accessible solutions.
What Is Digital Accessibility?
Accessibility (a11y) describes the practice of designing and developing products, services, and facilities so that they can be used effectively by people with the widest range of capabilities independently. A11y strives to create an equitable experience that ensures everyone can perceive, understand, navigate, and interact with a product or service. The World Health Organization (WHO) estimates that over a billion people (approximately 16% of the world's population) live with a disability. Designing for a11y acknowledges this reality. In practice, it means that developers design for everyone, including people with disabilities.
The Benefits of Digital Accessibility
The benefits of digital a11y extend far beyond the legal compliance requirements—the practice creates value for all users and organizations.
- Inclusive user experience: a11y ensures that anyone can use your products, including people with permanent visual, auditory, physical, speech, cognitive, or neurological disabilities.
- Market expansion: When you remove barriers, you open your product to a larger audience, including people experiencing temporary or situational limitations such as a broken arm, trying to use an app in direct sunlight, or consuming digital content in a loud environment.
- Legal compliance: To minimize legal and financial risk, adhere to standards such as the Web Content Accessibility Guidelines (WCAG) and laws such as the Americans with Disabilities Act (ADA), Section 508, and the European Accessibility Act (EAA). You learn more about legal compliance later in this badge.
- Cleaner code and easier maintenance: Accessible coding practices lead to more structured, cleaner semantic code. This enhanced code improves the content experience when using various assistive technologies. It also makes code easier for you to maintain and update.
Artificial Intelligence Capabilities and Applications in Accessibility
AI technology enables computers to perform tasks typically requiring human intelligence. The immense potential of AI for accessibility requires careful consideration of ethical challenges, bias, and technical limitations. However, when used proactively and responsibly, AI capabilities can significantly enhance the experience of all people, including those with disabilities.
Core AI Capabilities
- Machine learning (ML): This method trains a computer model to make predictions and draw conclusions from data. It often forms the foundation of an AI system that’s used for making numeric predictions in areas like weather forecasting, sales predictions, risk assessment, and pricing optimization.
- Natural language processing (NLP): AI that interprets and acts on everyday language. This is rapidly transforming business functions such as customer support, software development, and sales. It includes capabilities such as:
- Generative AI: Creates original content in various formats, including natural language text, images, and code.
- Answer questions: Models such as GPTs can interpret a question's intent and generate detailed, conversational, just-in-time responses.
- Summarization: Large language models (LLMs) can condense and remix text, useful for generating meeting notes or article abstracts.
- Translation: LLMs learn structural rules of different languages (including programming languages) to accurately translate between them.
- Generative AI: Creates original content in various formats, including natural language text, images, and code.
- Computer vision: AI capabilities that allow visual interpretation of the world through video and image analysis. In guided image generation, LLMs work with image models so users can describe an image for the AI to create. Related AI can also add content to existing images based on context.
Speech and Text Capabilities
- Speech recognition (automatic speech recognition or speech-to-text): Technology that converts human speech into a written format.
- Text-to-speech: AI models convert text into speech, capable of analyzing and reproducing a specific person’s unique speech patterns.
- Error correction: AI can detect and correct grammatical or spelling errors, and use context to fill in missing words in speech-to-text such as closed captioning.
To fully realize the potential of AI in accessibility, a proactive approach is necessary. This involves having a clear understanding of the challenges and limitations AI presents for accessibility and actively working to mitigate them. You explore these specific issues in the next unit.