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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.
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.
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.
Cisco's Project Lifechanger started out as a volunteer pilot program, and is now helping to transform the company's hiring and employment programs.
As part of our Future of Work series, PEAT has been exploring how coming technology and policy trends may impact people with disabilities at work. The following interview explores the growing gig or freelance economy.
Self-driving cars show exciting promise to address existing barriers for people with disabilities traveling to and from work—as long as developers incorporate accessibility into these technologies from the start.