We propose and explore the possibility that language models can be studied as effective
proxies for specific human subpopulations in social science research. Practical and …

Current large-scale language models can be politically biased as a result of the data they
are trained on, potentially causing serious problems when they are deployed in real-world …

We test whether large language models (LLMs) can be used to simulate human participants
in social-science studies. To do this, we ran replications of 14 studies from the Many Labs 2 …

Advances in machine learning have led to the creation natural language models that can
mimic human writing style and substance. Here we investigate the challenge that machine …

We investigate the political bias of a large language model (LLM), ChatGPT, which has
become popular for retrieving factual information and generating content. Although ChatGPT …

Recent advancements in Large Language Models (LLMs) suggest imminent commercial
applications of such AI systems where they will serve as gateways to interact with …

We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

Large Language Models (LLMs) are a type of artificial intelligence that uses information from
very large datasets to model the use of language and generate content. While LLMs like …

Generative artificial intelligence has the potential to transform many of our projects, from art
and education to business and security. AI's promise in these areas comes largely from its …

The surge in popularity of large language models has given rise to concerns about biases
that these models could learn from humans. In this study, we investigate whether ingroup …