AI for identifying social norm violation

Yair Neuman · Yochai Cohen

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Ethics and Social Impacts of AI Computational and Text Analysis Methods Hate Speech and Cyberbullying Detection

Abstract

Identifying social norms and their violation is a challenge facing several projects in computational science. This paper presents a novel approach to identifying social norm violations. We used GPT-3, zero-shot classification, and automatic rule discovery to develop simple predictive models grounded in psychological knowledge. Tested on two massive datasets, the models present significant predictive performance and show that even complex social situations can be functionally analyzed through modern computational tools.

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References

2019Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies 2021Mathematical foundations of moral preferences 2021Perceptions of the appropriate response to norm violation in 57 societies 2021Why do people follow social norms?2005Defense Advanced Research Projects Agency (DARPA)2018The true trigger of shame: social devaluation is sufficient, wrongdoing is unnecessary 2017The prosocial functions of early social emotions: the case of guilt 2019The emotion–valuation constellation: Multiple emotions are governed by a common grammar of social valuation

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