Summary of Civics: Building a Dataset For Examining Culturally-informed Values in Large Language Models, by Giada Pistilli et al.
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
by Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell
First submitted to arxiv on: 22 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces the “CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts” dataset, a multilingual collection of value-laden prompts designed to evaluate Large Language Models’ (LLMs) social and cultural variation. The dataset addresses specific socially sensitive topics like LGBTQI rights, immigration, disability rights, and surrogacy, aiming to generate responses showing LLMs’ encoded and implicit values. Through dynamic annotation processes, tailored prompt design, and experiments, the paper investigates how open-weight LLMs respond to value-sensitive issues, exploring their behavior across diverse linguistic and cultural contexts. The researchers conducted two experimental set-ups based on log-probabilities and long-form responses, demonstrating social and cultural variability across different LLMs. Specifically, long-form response experiments show that refusals are triggered disparately across models, but consistently and more frequently in English or translated statements. Moreover, specific topics and sources lead to more pronounced differences across model answers, particularly on immigration, LGBTQI rights, and social welfare. The CIVICS dataset aims to serve as a tool for future research, promoting reproducibility and transparency across broader linguistic settings. The paper concludes that the development of AI technologies should respect and reflect global cultural diversities and value pluralism. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a special kind of dataset called “CIVICS” to help us understand how language models think about important social issues. They made a collection of questions and prompts that are sensitive to different cultures and values, like LGBTQI rights or disability rights. The goal is to see if language models have their own opinions on these topics, and if they do, what those opinions might be. The researchers used this dataset to test how different language models respond to these important issues. They found that the models are not all the same – some are more likely to refuse answering certain questions, while others are more consistent in their responses. They also found that the models have different opinions on certain topics, like immigration or LGBTQI rights. This paper is important because it helps us understand how language models think about social issues and how we can use them to respect and reflect global cultural diversities and value pluralism. |
Keywords
» Artificial intelligence » Prompt
