Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture

This paper introduces a novel LLM-based architecture designed to detect and quantify human values in text, addressing the growing need for ethical considerations in autonomous intelligent systems. It offers a tailorable approach, generating structured value specifications from any theoretical framework and avoiding the limitations of prior, theory-specific methods or complex prompt engineering.