Computer Science > Computation and Language
arXiv:2409.12106 (cs)
[Submitted on 18 Sep 2024 (v1), last revised 6 Mar 2025 (this version, v3)]
Title:Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
View a PDF of the paper titled Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models, by Haoran Ye and 5 other authors
View PDFHTML (experimental)Abstract:Human values and their measurement are long-standing interdisciplinary inquiry. Recent advances in AI have sparked renewed interest in this area, with large language models (LLMs) emerging as both tools and subjects of value measurement. This work introduces Generative Psychometrics for Values (GPV), an LLM-based, data-driven value measurement paradigm, theoretically grounded in text-revealed selective perceptions. The core idea is to dynamically parse unstructured texts into perceptions akin to static stimuli in traditional psychometrics, measure the value orientations they reveal, and aggregate the results. Applying GPV to human-authored blogs, we demonstrate its stability, validity, and superiority over prior psychological tools. Then, extending GPV to LLM value measurement, we advance the current art with 1) a psychometric methodology that measures LLM values based on their scalable and free-form outputs, enabling context-specific measurement; 2) a comparative analysis of measurement paradigms, indicating response biases of prior methods; and 3) an attempt to bridge LLM values and their safety, revealing the predictive power of different value systems and the impacts of various values on LLM safety. Through interdisciplinary efforts, we aim to leverage AI for next-generation psychometrics and psychometrics for value-aligned AI.
| Comments: | Accepted at AAAI 2025 |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2409.12106 [cs.CL] |
| (orarXiv:2409.12106v3 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2409.12106 arXiv-issued DOI via DataCite |
Submission history
From: Haoran Ye [view email][v1] Wed, 18 Sep 2024 16:26:22 UTC (792 KB)
[v2] Fri, 20 Dec 2024 08:35:24 UTC (818 KB)
[v3] Thu, 6 Mar 2025 08:18:50 UTC (825 KB)
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View a PDF of the paper titled Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models, by Haoran Ye and 5 other authors
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