@inproceedings{shen-etal-2025-valuecompass,
title = "{V}alue{C}ompass: A Framework for Measuring Contextual Value Alignment Between Human and {LLM}s",
author = "Shen, Hua and
Knearem, Tiffany and
Ghosh, Reshmi and
Yang, Yu-Ju and
Clark, Nicholas and
Mitra, Tanu and
Huang, Yun",
editor = "Zhang, Chen and
Allaway, Emily and
Shen, Hua and
Miculicich, Lesly and
Li, Yinqiao and
M'hamdi, Meryem and
Limkonchotiwat, Peerat and
Bai, Richard He and
T.y.s.s., Santosh and
Han, Sophia Simeng and
Thapa, Surendrabikram and
Rim, Wiem Ben",
booktitle = "Proceedings of the 9th Widening NLP Workshop",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.winlp-main.15/",
pages = "75--86",
ISBN = "979-8-89176-351-7",
abstract = "As AI advances, aligning it with diverse human and societal values grows critical. But how do we define these values and measure AI{'}s adherence to them? We present ValueCompass, a framework grounded in psychological theories, to assess human-AI alignment. Applying it to five diverse LLMs and 112 humans from seven countries across four scenarios{---}collaborative writing, education, public sectors, and healthcare{---}we uncover key misalignments. For example, humans prioritize national security, while LLMs often reject it. Values also shift across contexts, demanding scenario-specific alignment strategies. This work advances AI design by mapping how systems can better reflect societal ethics."
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%0 Conference Proceedings
%T ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs
%A Shen, Hua
%A Knearem, Tiffany
%A Ghosh, Reshmi
%A Yang, Yu-Ju
%A Clark, Nicholas
%A Mitra, Tanu
%A Huang, Yun
%Y Zhang, Chen
%Y Allaway, Emily
%Y Shen, Hua
%Y Miculicich, Lesly
%Y Li, Yinqiao
%Y M’hamdi, Meryem
%Y Limkonchotiwat, Peerat
%Y Bai, Richard He
%Y T.y.s.s., Santosh
%Y Han, Sophia Simeng
%Y Thapa, Surendrabikram
%Y Rim, Wiem Ben
%S Proceedings of the 9th Widening NLP Workshop
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-351-7
%F shen-etal-2025-valuecompass
%X As AI advances, aligning it with diverse human and societal values grows critical. But how do we define these values and measure AI’s adherence to them? We present ValueCompass, a framework grounded in psychological theories, to assess human-AI alignment. Applying it to five diverse LLMs and 112 humans from seven countries across four scenarios—collaborative writing, education, public sectors, and healthcare—we uncover key misalignments. For example, humans prioritize national security, while LLMs often reject it. Values also shift across contexts, demanding scenario-specific alignment strategies. This work advances AI design by mapping how systems can better reflect societal ethics.
%U https://aclanthology.org/2025.winlp-main.15/
%P 75-86
Markdown (Informal)
[ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs](https://aclanthology.org/2025.winlp-main.15/) (Shen et al., WiNLP 2025)
ACL