  There is a growing need for data-driven research efforts on how the public
perceives the ethical, moral, and legal issues of autonomous AI systems. The
current debate on the responsibility gap posed by these systems is one such
example. This work proposes a mixed AI ethics model that allows normative and
descriptive research to complement each other, by aiding scholarly discussion
with data gathered from the public. We discuss its implications on bridging the
gap between optimistic and pessimistic views towards AI systems' deployment.
