  We discuss issues of Artificial Intelligence (AI) fairness for people with
disabilities, with examples drawn from our research on human-computer
interaction (HCI) for AI-based systems for people who are Deaf or Hard of
Hearing (DHH). In particular, we discuss the need for inclusion of data from
people with disabilities in training sets, the lack of interpretability of AI
systems, ethical responsibilities of access technology researchers and
companies, the need for appropriate evaluation metrics for AI-based access
technologies (to determine if they are ready to be deployed and if they can be
trusted by users), and the ways in which AI systems influence human behavior
and influence the set of abilities needed by users to successfully interact
with computing systems.
