From the 1 of 7 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
7 papers
Estimating the Geopolitical Preferences of Large Language Models from United Nations Voting Data
Maxim Chupilkin
The paper estimates the geopolitical leanings of several large language models by applying a dynamic ordinal ideal‑point model to their simulated votes on 5,555 UN General Assembly…
Geopolitical alignment: Endorsement effects in large language models
Maxim Chupilkin
Large language models (LLMs) are increasingly used to summarize and evaluate policy-relevant information, but it remains unclear whether their judgments are implicitly shaped by ge…
Artificial Institutions: How Institutional Design Shapes LLM Simulations
Maxim Chupilkin
Artificial societies built from large language model (LLM) agents are becoming a practical research tool in economics, political science, sociology, and computer science. Most atte…
Multi-Agent Strategic Games with LLMs
Maxim Chupilkin
This paper asks whether large language models (LLMs) can be used to study the strategic foundations of conflict and cooperation. I introduce LLMs as experimental subjects in a repe…
Hidden Topics: Measuring Sensitive AI Beliefs with List Experiments
Maxim Chupilkin
How can researchers identify beliefs that large language models (LLMs) hide? As LLMs become more sophisticated and the prevalence of alignment faking increases, combined with their…
Left Leaning Models: How AI Evaluates Economic Policy?
Maxim Chupilkin
Would artificial intelligence (AI) cut interest rates or adopt conservative monetary policy? Would it deregulate or opt for a more controlled economy? As AI use by economic policym…