Prompting Fairness: Artificial Intelligence as Game Players

• URL: http://arxiv.org/abs/2402.05786v2
• Date: Fri, 9 Feb 2024 04:19:26 GMT
• Title: Prompting Fairness: Artificial Intelligence as Game Players
• Authors: Jazmia Henry
• Abstract summary: Utilitarian games to measure fairness have been studied in the social sciences for decades. Over 101 rounds of the dictator game, I conclude that AI has a strong sense of fairness that is dependant on it. There may be evidence that AI experiences inequality aversion just as humans.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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