EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models
Researchers have developed EvalMORAAL, a new framework for evaluating the moral alignment of large language models. This system uses a transparent chain-of-thought process, comparing log-probabilities and direct ratings, alongside a model-as-judge peer review. When tested on global survey data, top models showed strong alignment with Western values but a significant gap in alignment with non-Western regions. AI
IMPACT Highlights a significant regional bias in current LLM moral alignment, suggesting a need for more culturally aware AI development.