AI Economics Research Podcast
This episode dives into a new Bank of England research paper exploring whether Large Language Models like GPT-3.5 Turbo can form inflation perceptions and expectations similar to human households. Using a clever quasi-experimental design, the study compares LLM outputs to survey data, revealing how AI responds to economic signals and its surprising sensitivity to food inflation. Discover the implications for economic forecasting and social science research, and share your thoughts at feedback@econpod.org. Find the full paper here: https://www.bankofengland.co.uk/-/media/boe/files/working-paper/2026/inflation-attitudes-of-large-language-models.pdf This episode explains a real academic paper in plain English for a general audience. Source paper: Inflation attitudes of large Nikoleta Anesti, Edward Hill and Andreas Joseph - Bank of England Keywords: inflation, large language models, AI, economic forecasting, central banking, macroeconomics
30 episodes
Comments
0Be the first to comment
Sign up now and become a member of the AI Economics Research Podcast community!