AI and Accessibility: A Discussion of Ethical Considerations
August 21, 2019 Β· Declared Dead Β· π Communications of the ACM
"No code URL or promise found in abstract"
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Authors
Meredith Ringel Morris
arXiv ID
1908.08939
Category
cs.CY: Computers & Society
Cross-listed
cs.AI,
cs.HC
Citations
99
Venue
Communications of the ACM
Last Checked
4 months ago
Abstract
According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens; people are disabled to the extent that society creates accessibility barriers. AI technologies offer the possibility of removing many accessibility barriers; for example, computer vision might help people who are blind better sense the visual world, speech recognition and translation technologies might offer real time captioning for people who are hard of hearing, and new robotic systems might augment the capabilities of people with limited mobility. Considering the needs of users with disabilities can help technologists identify high-impact challenges whose solutions can advance the state of AI for all users; however, ethical challenges such as inclusivity, bias, privacy, error, expectation setting, simulated data, and social acceptability must be considered.
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