Large language models (LLMs) appear to bias their survey answers toward certain values.
Nonetheless, some argue that LLMs are too inconsistent to simulate particular values. Are …

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Large language models (LLMs) increasingly find their way into the most diverse areas of our
everyday lives. They indirectly influence people's decisions or opinions through their daily …

Prior work has explicated the coloniality of artificial intelligence (AI) development and
deployment through mechanisms such as extractivism, automation, sociological …

Data annotation remains the sine qua non of machine learning and AI. Recent empirical
work on data annotation has begun to highlight the importance of rater diversity for fairness …

This paper introduces the" CIVICS: Culturally-Informed & Values-Inclusive Corpus for
Societal impacts" dataset, designed to evaluate the social and cultural variation of Large …

The training data for LLMs embeds societal values, increasing their familiarity with the
language's culture. Our analysis found that 44% of the variance in the ability of GPT-4o to …

In this paper, we conduct an empirical analysis of how large language models (LLMs),
specifically GPT-4, interpret constitutional principles in complex decision-making scenarios …

LLMs and other forms of generative AI have shown immense promise in producing highly
accurate epistemic judgements in domains as varied as law, education, and medicine–with …

As large language models (LLMs) demonstrate impressive performance in various tasks and
are increasingly integrated into the decision-making process, ensuring they align with …