Biased LLMs can Influence Political Decision-Making
Biased LLMs influence political decision-making, altering judgments and choices in simulated policy scenarios with measurable partisan effects.
Published 202513 citationsPaper ↗
70%
OverallHighly rated
?
OverallHighly ratedVote to see the scoreThe exact score shows once you've voted, so every vote is your own call. The first half of each home page shelf shows its scores.
Readers
–
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel4/20reviewers recommend it
lenient 3/5
medium 1/10
strict 0/5
AI panel?Vote to see what the 20 AI reviewers said
A timely survey demonstration that LLM prompt biases can sway political decisions, though it isolates neither framing effects from LLM influence nor provides robustness checks and replication materials.
Abstract
Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.