  We consider how fair treatment in society for people with disabilities might
be impacted by the rise in the use of artificial intelligence, and especially
machine learning methods. We argue that fairness for people with disabilities
is different to fairness for other protected attributes such as age, gender or
race. One major difference is the extreme diversity of ways disabilities
manifest, and people adapt. Secondly, disability information is highly
sensitive and not always shared, precisely because of the potential for
discrimination. Given these differences, we explore definitions of fairness and
how well they work in the disability space. Finally, we suggest ways of
approaching fairness for people with disabilities in AI applications.
