  The ethics of artificial intelligence (AI) systems has risen as an imminent
concern across scholarly communities. This concern has propagated a great
interest in algorithmic fairness. Large research agendas are now devoted to
increasing algorithmic fairness, assessing algorithmic fairness, and
understanding human perceptions of fairness. We argue that there is an
overreliance on fairness as a single dimension of morality, which comes at the
expense of other important human values. Drawing from moral psychology, we
present five moral dimensions that go beyond fairness, and suggest three ways
these alternative dimensions may contribute to ethical AI development.
