  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.
