1 citations · 1 across the 11 of their papers we have counts for
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Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
Geng Liu, Carlo Alberto Bono, Francesco Pierri
Large Language Models (LLMs) and search engines have the potential to perpetuate biases and stereotypes by amplifying existing prejudices in their training data and algorithmic pro…
Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?
Nicoló Fontana, Francesco Pierri, Luca Maria Aiello
The behavior of Large Language Models (LLMs) as artificial social agents is largely unexplored, and we still lack extensive evidence of how these agents react to simple social stim…
Can I introduce my boyfriend to my grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification
Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein +2
Creating globally inclusive AI systems demands datasets reflecting diverse social norms. Iran, with its unique cultural blend, offers an ideal case study, with Farsi adding linguis…