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Jeff Bigham of Carnegie Mellon University discusses how computer scientists rely on crowdsourced testing to make technologies more accessible, and how the flexibility of crowd work intersects with growing opportunities in the gig economy for people with disabilities.
Researcher Martez Mott is working to create new touch interaction techniques for mobile technologies using machine-based learning. In this episode, he explains how this emerging technology will improve workplace technology with touch screens by allowing users with a range of motor abilities to customize their touch techniques.
PEAT's 2017 Think Tank meeting explored key issues related to accessible workplace technology through working groups and rich facilitated discussions with 63 participants representing industry, government, academia, and the disability community. The event generated several tangible recommendations for closing the accessible technology skills gap, expanding government apprenticeship and workforce programs for people with disabilities, and encouraging the development of accessible products.
Here at PEAT, we spend a lot of time talking about the importance of accessible technology in the workplace. But how do we ensure that budding computer engineers and programmers have the skills they need to develop accessible tech in the first place?
Scott Wiseman and Joe Bielawski discuss how the gig economy is helping the government to staff up, push projects forward, and increase efficiency—and the opportunities this may offer to job seekers with disabilities.
Paul Schroeder, Aira Director of Public Policy & Strategic Alliances, discusses how emerging technologies are shaping the landscape of employment for people with vision loss, and other disabilities.
Bobby Silverstein discusses the implications of the Americans with Disabilities Act (ADA) and other laws related to accessible technology with respect to shifts to a gig or project-based workforce.
Jutta Treviranus, Director and Founder of the Inclusive Design Research Centre, discusses how to improve artificial intelligence systems so they can better serve everyone, including people with disabilities.