  Private companies, public sector organizations, and academic groups have
outlined ethical values they consider important for responsible artificial
intelligence technologies. While their recommendations converge on a set of
central values, little is known about the values a more representative public
would find important for the AI technologies they interact with and might be
affected by. We conducted a survey examining how individuals perceive and
prioritize responsible AI values across three groups: a representative sample
of the US population (N=743), a sample of crowdworkers (N=755), and a sample of
AI practitioners (N=175). Our results empirically confirm a common concern: AI
practitioners' value priorities differ from those of the general public.
Compared to the US-representative sample, AI practitioners appear to consider
responsible AI values as less important and emphasize a different set of
values. In contrast, self-identified women and black respondents found
responsible AI values more important than other groups. Surprisingly, more
liberal-leaning participants, rather than participants reporting experiences
with discrimination, were more likely to prioritize fairness than other groups.
Our findings highlight the importance of paying attention to who gets to define
responsible AI.
