Diverse Human Value Alignment for Large Language Models via Ethical Reasoning

TL;DR

This paper introduces an ethical reasoning framework for large language models to better understand and align with diverse human values across cultures, using a structured five-step process inspired by ethical decision-making models.

Contribution

It proposes a novel ethical reasoning paradigm with a five-step process for LLMs to improve regional value alignment through interpretative and deliberative ethical analysis.

Findings

Significantly improves LLM alignment with diverse human values.

Enhances social norm identification and culturally appropriate reasoning.

Demonstrates effectiveness on the SafeWorld benchmark.

Abstract

Ensuring that Large Language Models (LLMs) align with the diverse and evolving human values across different regions and cultures remains a critical challenge in AI ethics. Current alignment approaches often yield superficial conformity rather than genuine ethical understanding, failing to address the complex, context-dependent nature of human values. In this paper, we propose a novel ethical reasoning paradigm for LLMs inspired by well-established ethical decision-making models, aiming at enhancing diverse human value alignment through deliberative ethical reasoning. Our framework consists of a structured five-step process, including contextual fact gathering, hierarchical social norm identification, option generation, multiple-lens ethical impact analysis, and reflection. This theory-grounded approach guides LLMs through an interpretable reasoning process that enhances their ability to understand regional specificities and perform nuanced ethical analysis, which can be implemented with either prompt engineering or supervised fine-tuning methods. We perform evaluations on the SafeWorld benchmark that specially designed for regional value alignment. Experimental results demonstrate our framework significantly improves LLM alignment with diverse human values compared to baseline methods, enabling more accurate social norm identification and more culturally appropriate reasoning. Our work provides a concrete pathway toward developing LLMs that align more effectively with the multifaceted values of global societies through interdisciplinary research.