MPSA: Partisan Bias in Algorithmic Advice: An Audit of Political Advice from Large Language Models

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Partisan Bias in Algorithmic Advice: An Audit of Political Advice from Large Language Models

In Event: Politics of AI Workshop III. The Impact of Large Language Models on Political Communication and Research

Fri, April 24, 11:30am to 1:00pm CDT (11:30am to 1:00pm CDT), TBA

Brief Overview

This paper presents results from a comprehensive audit of LLMs, investigating partisan leanings in the political advice they generate.

Author

Jan Zilinsky, Technical University of Munich

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