Stage: Main Stage

Map apps on mobile phones are miraculous tools accessible via voice output, but mainstream apps don’t announce the detailed location information (which people who are blind or visually impaired really want), especially inside buildings and in public transportation settings. Efforts in the U.S. and U.K. are improving accessible navigation.

Technologists like to imagine how their work affects people, but that’s no substitute for truly knowing the real impact on lives, or better yet, understanding what people, especially people with disabilities, really want from their surroundings and community. In her recent book, What Can a Body Do? professor and designer Sara Hendren’s “aim … isn’t to throw cold water on innovation; it’s to recenter the people, behind the tools, who must work with their surroundings, their adaptations at least as miraculous as the technology that helps them.” (Katy Waldman, in her New Yorker review)

For an AI to interpret the visual world on behalf of people who are blind or visually impaired, the AI needs to know what it’s looking at, and no less important, that it’s looking at the right thing. Mainstream computer vision databases don’t do that well — yet.

Apple has long embraced accessibility as a bedrock design principle. Not only has Apple created some of the most popular consumer products in history, these same products are also some of the most powerful assistive devices ever. Apple’s Sarah Herrlinger and Jeffrey Bigham will discuss the latest accessibility technology from Apple and how the company fosters a culture of innovation, empowerment and inclusion.

Whether it’s Alexa, Tesla or Facebook,  AI is already deeply embedded in our daily lives. Few understand that better than Dr. Kai-Fu Lee, a scientist who developed the first speaker-independent, continuous speech recognition system as a Ph.D. student at Carnegie Mellon, led Google in China and held senior roles at Microsoft and Apple. Today, Dr. Lee runs Sinovation Ventures, a $2 billion fund based in China, is president of the Sinovation’s Artificial Intelligence Institute and has 50 million followers on social media.

If people who are blind or visually impaired find Uber and Lyft liberating, imagine how they will feel summoning a fully autonomous ride from an app on their mobile phones. But wait, how exactly will they locate the cars and what happens when they climb in? Presenter Clem Wright is responsible for the fully autonomous taxi’s accessibility, and he will be joined by leadership from two organizations closely involved in that effort: The Lighthouse for the Blind SF and the Foundation for Blind Children.

While it’s clear that AI-based technologies like natural language processing and computer vision are powerful tools to help with accessibility, there are also areas where AI technologies inject bias against people with disabilities by contrasting them again “norms” established in databases. This panel will look at examples of where that is happening – in employment software, benefits determination or even self-driving cars, for example, – and approaches that will help address these issues from the ground up.

Inventors have long been inspired to apply their genius to helping blind people. Think of innovators like Louis Braille and Ray Kurzweil, to name just two. Today’s ambitious pioneers have the cheap sensors, high speed data networks, and data and compute “in the cloud” to do more than ever before. In this session, three founders present products that have just or will soon will enter production that they believe will improve the lives of people with disabilities.

The screen reader is arguably the most consequential digital technology ever for people who are blind or visually impaired. At the same time, screen readers depend on a dizzying array of keyboard commands, and — when it comes to reading websites in a browser — they struggle with the ugly reality of poor website accessibility. New technologies may lead the way to better outcomes.

Dedicated devices versus accessible platforms? Victor Reader Stream versus iPhones and Alexa? How will AT companies take advantage of a world with cloud data and edge computational power, AI algorithms and more demanding customers than ever? Humanware, eSight and APH are already looking far into that future.