  Utilitarian games such as dictator games to measure fairness have been
studied in the social sciences for decades. These games have given us insight
into not only how humans view fairness but also in what conditions the
frequency of fairness, altruism and greed increase or decrease. While these
games have traditionally been focused on humans, the rise of AI gives us the
ability to study how these models play these games. AI is becoming a constant
in human interaction and examining how these models portray fairness in game
play can give us some insight into how AI makes decisions. Over 101 rounds of
the dictator game, I conclude that AI has a strong sense of fairness that is
dependant of it it deems the person it is playing with as trustworthy, framing
has a strong effect on how much AI gives a recipient when designated the
trustee, and there may be evidence that AI experiences inequality aversion just
as humans.
