Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity
Large Language Models (LLMs) have demonstrated impressive capabilities in generating fluent text, as well as tendencies to reproduce undesirable social biases. This study investigates whether LLMs reproduce the moral biases associated with political groups in the United States, an instance of a broader capability herein termed moral mimicry. This hypothesis is explored in the GPT-3/3.5 and OPT families of Transformer-based LLMs. Using tools from Moral Foundations Theory, it is shown that these LLMs are indeed moral mimics. When prompted with a liberal or conservative political identity, the models generate text reflecting corresponding moral biases. This study also explores the relationship between moral mimicry and model size, and similarity between human and LLM moral word use.
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModellingMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Tracing Moral Foundations in Large Language Models
Large language models often produce human-like moral judgments, but it is unclear whether this reflects an internal conceptual structure or superficial ``moral mimicry.'' Using Moral Foundations Theory (MFT) as an analyt…
The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models
People increasingly rely on Large Language Models (LLMs) for moral advice, which may influence humans' decisions. Yet, little is known about how closely LLMs align with human moral judgments. To address this, we introduc…
MOKA: Moral Knowledge Augmentation for Moral Event Extraction
News media often strive to minimize explicit moral language in news articles, yet most articles are dense with moral values as expressed through the reported events themselves. However, values that are reflected in the i…
ArticlesEvent ExtractionMoral ScenariosJailbreaking Large Language Models with Morality Attacks
Pluralism alignment with AI has the sophisticated and necessary goal of creating AI that can coexist with and serve morally multifaceted humanity. Research towards pluralism alignment has many efforts in enhancing the le…
Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments
Large Language Models (LLMs) are already as persuasive as humans. However, we know very little about how they do it. This paper investigates the persuasion strategies of LLMs, comparing them with human-generated argument…
Persuasion Strategies