AI Innovations For Improving User Accessibility

🔮 AI Accessibility Design Patterns. With practical guidelines for designers to keep in made to make AI experiences more accessible and inclusive ↓ AI features are rarely accessible by default. As we rush to ship AI-powered products, most of the time AI interactions are barely usable nor accessible or inclusive. Too often with open-ended input ("ask-me-anything"), poorly structured output and plenty of slow, repetitive and inefficient tasks. Writing prompts well is hard and time-consuming. Navigating within AI-generated wall of text is difficult. Finding relevant bits in long-lasting conversations is an adventure. And tweaking queries and AI output to meet user's needs and expectations is remarkably painful. These aren’t attributes of great AI experiences. In fact, AI features have a lot of UX challenges which require intentional and deliberate UX work: 1. AI suddenly imagines things 2. AI silently assumes things 3. AI suddenly forgets things 4. AI suddenly changes its mind 5. AI says what people want to hear 6. AI often takes too long to reply 7. AI is too verbose when replying 8. Quality of AI output declines over time 9. Only amplifies averages and mistakes 10. Rarely asks for missing details or context On the other hand, the accessibility of AI products is uncharted territory. AI features typically come with a lot of accessibility challenges, and usually they aren’t addressed at all: 1. Users could use a task builder for better prompts 2. Add “Skip to chat” or “Skip to last reply” links 3. Keyboard navigation works bottom up (Shift + Tab) 4. Group interaction controls to reduce tabbing 5. As AI is busy, keep buttons enabled, show hints 6. Repetitive “busy” messages for screen reader users 7. Add navigation landmarks to navigate within AI responses 8. Highlight what's AI-generated and what isn't 9. Link references to relevant fragments, not pages 10. References should show up on tap/click, not hover. 11. Allow users to to adjust the verbosity of AI output. 12. Most charts and visuals don't have proper alt texts. In fact, "Ask-me-anything" is an incredibly poor design pattern in AI interfaces. Users can ask anything, but they never know what exactly to ask — and more specifically, how to articulate it efficiently. A task builder can help bring structure around AI input, along with higher speed and accuracy (attached). One thing to note is the "inverted navigation nightmare". Chat moves down the page, but keyboard navigation works from bottom up. And on the way to the conversation, there are always UI controls that aren’t easy to skip. Grouping all UI controls and allowing users to skip them at once would help. If you'd like to dive deeper, I can wholeheartedly recommend a series of articles by Michael Gower — https://lnkd.in/eQNCHf7M — an important yet often overlooked area that deserves attention and good UX work, but is unexplored yet.

AI is levelling up accessibility… and this one really caught my EYE! I saw a story in the news recently about smart glasses that use AI to describe the world to people with low vision. Not as a gimmick. Not as a sci-fi concept. But actually helping people, today. These glasses can read street signs… describe objects… even tell you what’s happening in front of you in real time. All through a tiny camera and an AI assistant built into the frame. One woman shared how it now reads menus for her, helps her find the right product on a shelf, and navigate spaces more confidently. For her, it wasn’t “cool tech”. It was independence. As an optometrist, this is the type of innovation that excites me. When consumer tech quietly steps into the world of assistive care, without looking or feeling like a medical device. We’re edging into a future where accessibility tools are invisible, intuitive, and genuinely life-changing. And if this is where AI wearables are today… the next 12 months are going to be fascinating. What other accessibility tech have you seen that impressed you?

Trevor Noah dives into a fascinating topic: "How can AI empower people with disabilities?" Saqib Shaikh, creator of SeeingAI, joins Trevor to show how AI is revolutionizing life for people who are blind or have low vision. He demonstrates how Seeing AI provides detailed descriptions of surroundings—from buildings and film crews to even birdhouses! Why is this important? ● AI is not just tech; it's a tool for independence. ● It transforms how people with disabilities interact with the world. ● Seeing AI offers real-time information, enhancing daily experiences. Key Takeaways from the Video: 1.) Empowerment through technology: AI like Seeing AI opens new possibilities. 2.) Creating independence: No more waiting for assistance—access information instantly. 3.) Breaking barriers: AI helps to navigate spaces, understand environments, and make decisions. Kudos to Saqib Shaikh and your team! They are leading the way in making AI accessible, practical, and genuinely transformative. What’s next? Imagine a world where every tech innovation includes accessibility from the start. AI is a powerful step forward, but there’s so much more to explore. P.S. Check out the video—it's an eye-opener!

What have I been up to during my sabbatical at Google Research? Attempting to make Street View accessible to all! 🌍✨ In 2007, Google launched Street View revolutionizing how people could virtually navigate and explore the world—from virtually previewing routes and inspecting destinations to getting a “feel” for neighborhoods or even remotely visiting world-class tourist locations. Now, every major mapping service provides interactive streetscape imagery; however, these tools are fundamentally inaccessible to blind users. With advances in multimodal AI, we now have an opportunity to redefine the experience of streetscape maps for blind users. We introduce StreetViewAI, a new, accessible street view prototype using context-aware, real-time AI and accessible navigation controls. Key capabilities: ↔️ Accessible panning and movement controls between panoramic images (including speech commands) 🗺️ Real-time AI descriptions of nearby roads, intersections, and places 💬 Dynamic conversation with a live, multimodal AI agent about scenes and local geography User feedback from our lab evaluation with 11 blind users: 🚀 "This is a huge leap forward in navigation" ✨ "This is incredible" 😊 "This is going to make a lot of blind people very happy" A key finding: users overwhelmingly preferred conversing with the AI Chat Agent over getting simple descriptions, allowing them to ask specific, context-based questions about the scene and local geography. Research challenges ahead:  🧠 Mental models of pedestrian navigation vs. inherent limitations of streetscape imagery ⚠️ Bias towards trusting AI output (even when wrong) 🎧 Interaction design difficulties in creating concise audio feedback that appropriately combines complex information from navigation data, panoramic imagery, and spatial relationships 🌐 Improving spatial reasoning and multimodal AI models to support diverse visual question and answering Personal reflections: this project was like a sabbatical dream, connecting so many interests and eras of my life: reuniting with Shaun Kane (we first worked together in 2006!), finally getting to work with Alex Fiannaca (who I tried to recruit to UMD as my PhD student), and building alongside the incredible Nimer Jaber and Victor Tsaran. I am also grateful to the many discussions and feedback from so many talented Googlers from Geo to Astra and the Society-Centered AI and AI for Social Good teams. 🙏 Read the UIST'25 preprint here: https://lnkd.in/gUJVrFzD #AI #MultimodalAI #Gemini #ComputerVision #GoogleMaps #AccessibleMaps #A11y #HCI #Research

AI coding tools have an accessibility problem. I decided to fix it. I am a screen reader user and accessibility specialist. I use Claude Code every day to build apps at Techopolis LLC. And every day, I have to fight for the fundamentals. Labeled inputs. Focus trapping. Semantic HTML. Contrast ratios. Live regions. These are not advanced requirements. They are the basics. And AI drops them constantly. I tried writing detailed instructions. I tried custom skills. I tried adding reminders to every prompt. None of it stuck. As conversations grow, the model deprioritizes accessibility. Every time. So I built something different. Six specialized AI agents, each with one focused job it cannot ignore. An ARIA Specialist. A Modal Specialist. A Contrast Master. A Keyboard Navigator. A Live Region Controller. And an Accessibility Lead that coordinates them. A hook fires on every prompt. If the task involves UI code, the team activates automatically. If it does not, Claude works normally. It enforces WCAG 2.1 Level AA compliance. It covers VoiceOver, NVDA, and JAWS compatibility. It catches framework-specific pitfalls like React conditional rendering breaking live regions and Tailwind color classes failing contrast. It is open source, MIT licensed, and installs in about thirty seconds. I built it because I need it. And I know I am not the only one. If you work with AI coding tools and care about accessibility, star the repo and share this with your team. The more people involved, the better it gets. GitHub: https://lnkd.in/geYhcZm3 Full writeup: https://lnkd.in/gZdQVxr5 #Accessibility #a11y #OpenSource #WCAG #ClaudeCode #AI #WebDevelopment #AssistiveTechnology #ScreenReader #DevTools #InclusiveDesign

Technology is at its most powerful when it expands opportunity and removes barriers. A great example comes from ILUNION, a social enterprise whose legal team, led by José Luis Barceló, is using Microsoft 365 Copilot to drive a deep transformation in how legal work gets done. Many members of ILUNION’s legal team are blind or have low vision. By combining accessibility tools with Copilot and custom AI agents, they are accelerating research, simplifying complex legal analysis, and enabling every lawyer to focus on higher-value, more strategic work. As José Luis puts it, Copilot has become a “shadow assistant” supporting each professional. This story highlights something we see across Latin America and around the world: AI is not just about productivity, it is about inclusion. When organizations design technology with accessibility at the center, innovation becomes a force for participation, creativity, and economic opportunity. A truly inspiring perspective worth reading: https://lnkd.in/dSfVRFQ9

Exciting AI + accessibility news for the blind community! Be My Eyes has partnered with OpenAI/ChatGPT to create a groundbreaking accessibility tool that uses AI. Users can point their phone at the scenery in front of them, and the phone will provide a visual description and speak back to them in real time for tasks such as hailing down a taxi, reading a menu, or describing a monument. This could be a gamechanger for many blind people, enhancing independence and making the world more accessible for them. As a deafblind woman, it excites me to see a new accessibility tool emerging. This innovation holds great promise, and I’m eager to witness how it empowers the blind community by offering real-time descriptions of their surroundings. Imagine the freedom and confidence this could instill in daily life for blind people, from navigating new places to simply enjoying the beauty of nature. However, blindness varies widely, so this tool might be more suitable for some people than for others. For example, there are still limitations for the deafblind community. As blindness is a spectrum, many blind people still have remaining vision. If they're deafblind like me, they need captions to have full access when receiving auditory information. I'm curious about what blind users will think of the tool once they start to adopt it. While this is a fantastic advancement, there’s always need for continued improvements and iteration. I also care deeply about preventing the harmful impacts of AI so I hope that this is also being thought about. Accessibility technology is crucial for the disability community. It not only enhances our ability to engage with the world but also promotes independence and equity. What are your thoughts on this new development? P.S. Here’s a cool video on it: https://lnkd.in/etfHehCh #Accessibility #AI #DisabilityInclusion

AI is helping visually-impaired athletes navigate races. Not in theory. In practice. Right now. Wearables like the Wayband from WearWorks have been tested in real race environments, including an attempted navigation of the New York City Marathon by blind runner Simon Wheatcroft, using vibration based cues instead of sight. Not flawless. Not finished. But a real step toward more independent movement. Researchers at MIT, Carnegie Mellon, and other Universities are developing AI systems that detect obstacles, identify safe paths, and translate the environment into non- visual guidance for people with low or no vision. Early-stage. But promising work that’s already reshaping what’s possible. Accessibility tools for color-blind athletes Focus on clearer visual design, contrast improvements, and better visibility of boundaries and signals. Practical upgrades. Real-world impact. This is what accessibility should look like. Not an afterthought. A direction. Because when technology increases, So does someone’s independence on the course, That’s not disruption. That’s progress. The kind that opens the starting line to more people, not fewer. And that same belief drives everything We’re building at Ruley, the E-Referee. Tech that makes understanding fair play universal.

For me, AI isn’t just about efficiency — it’s about making technology more accessible by personalizing it to my disability and the way I work. One of the most valuable features I’ve found in ChatGPT is the ability to tell it about your needs. In the “Customize ChatGPT” settings, you can use the “Anything else ChatGPT should know about you?” field to explain what works best. I use that space to let ChatGPT know that I am blind and rely on a screen reader. By doing so, I’ve found it does a much better job of: - Giving me clear instructions for completing tasks using a keyboard. - Creating more accessible documents when I ask it to generate Word or PDF files. This small customization makes a big difference — it helps AI tools work with me, not against me. I’ll be sharing more examples this week of how people with disabilities can use AI in practical, meaningful ways. #Accessibility #A11y #InclusiveTechnology #ChatGPT #AIForGood

How AI is expanding access and equity for people with disabilities From Dr. Victor Santiago Pineda for Capitol Weekly- "For millions of Californians living with disabilities, the promise of independence has too often been undermined by high costs, limited resources, and outdated support systems. From barriers in communication to everyday mobility, the lack of affordable, long-term solutions has left many families struggling to secure the care and tools they need to thrive. Artificial intelligence is beginning to change that. Today, nearly four million Californians with physical or cognitive disabilities are seeing how AI can expand access, increase equity, and improve quality of life. While no single technology can meet every need, AI offers a powerful platform for progress. Across the state, developers, advocates, and policymakers must work together to ensure innovation is built with inclusivity at its core. When designed with accessibility in mind, AI becomes a powerful equalizer. From supporting mobility to aiding communication, these tools afford greater independence and dignity for people living with disabilities. Voice-recognition technology, for instance, was first developed to help disabled individuals and has since evolved into everyday assistants like Siri and Alexa. The same trajectory is underway today: innovations initially built for accessibility are pushing the boundaries of what’s possible for disabled communities, and eventually, they will become technologies we all rely on." #AccessibilityInTheNews Center for Independent Living, Inc. https://lnkd.in/gkk3f8Ct