PSN: Persian Social Norms Dataset for Cross-Cultural AI

Autor:	Saffari, Hamidreza, Shafiei, Mohammadamin, Pierri, Francesco
Rok vydání:	2024
Předmět:	Computer Science - Social and Information Networks
Druh dokumentu:	Working Paper
Popis:	Datasets capturing cultural norms are essential for developing globally aware AI systems. We present Persian Social Norms (PSN) a novel dataset of over 1.7k Persian social norms, including environments, contexts, and cultural labels, alongside English translations. Leveraging large language models and prompt-engineering techniques, we generated potential norms that were reviewed by native speakers for quality and ethical compliance. As the first Persian dataset of its kind, this resource enables computational modeling of norm adaptation, a crucial challenge for cross-cultural AI informed by diverse cultural perspectives. Comment: 4 pages, 2 figures, 2 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.09123 Zobrazit plný text záznamu View this record from Arxiv