Léonie Watson, Artur Ortega, Karl Groves & Geri Reid & Sara Joy
AI and Accessibility: The Good and the Bad - Fireside Chat
Is AI a powerful accessibility assistant or a flawed tool that perpetuates stereotypes? Experts weigh in.
#1about 3 minutes
Assessing the current state of web accessibility with AI
The web's complexity has grown, but accessibility has largely kept pace, with conversational AI showing potential to simplify user tasks.
#2about 5 minutes
Evaluating the quality and context of AI-generated alt text
While early AI-generated alt text was poor, newer models are improving but still struggle with providing context-specific descriptions for images.
#3about 4 minutes
Understanding the risks and biases inherent in AI models
AI can introduce hazards, such as hallucinations in food descriptions, and perpetuate harmful biases by misrepresenting people with disabilities.
#4about 3 minutes
Addressing the accessibility gap in modern design tools
Design tools like Figma lack native accessibility features, causing critical semantic information to be lost during the handover to engineering.
#5about 4 minutes
Debunking the false promise of accessibility overlays
Accessibility overlays that claim to automatically fix websites fail to provide real accessibility and do not offer reliable legal protection from lawsuits.
#6about 7 minutes
Prioritizing native features over custom interface widgets
Building custom widgets for features like dark mode or text resizing is less effective than supporting native browser and OS capabilities.
#7about 7 minutes
Making the business case for accessibility beyond compliance
While proving direct ROI is challenging, accessibility can have a positive revenue impact, and legal regulations act as a necessary enforcement mechanism.
#8about 6 minutes
How assistive apps combine AI with human support
Applications like Seeing AI and Be My Eyes demonstrate a powerful model where AI provides initial assistance with an option to escalate to human volunteers.
#9about 10 minutes
A future outlook on AI's evolving role in accessibility
The future of AI in accessibility depends on addressing its current flaws, including inaccessible interfaces and biased training data, while leveraging its potential for narrow, specialized tasks.
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