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Munich Center For Machine Learning Papers

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Munich Center For Machine Learning

Munich Center For Machine Learning: Research Institution — Prolific Citations Library

Browse 1 peer-reviewed paper from Munich Center For Machine Learning spanning Artificial Intelligence, AI Ethics (2026). Research powered by Prolific's high-quality participant data.

This page lists 1 peer-reviewed paper from researchers at Munich Center For Machine Learning in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs

Authors: C Yuan, B Ma, Z Zhang, B Prenkaj, F Kreuter, G Kasneci

Year: 2026

Published in: arXiv preprint arXiv:2601.08634, 2026•arxiv.org

Institution: Munich Center for Machine Learning, LMU Munich, Technical University of Munich

Research Area: Artificial Intelligence, AI Ethics, AI Alignment, Political Science, Computational Social Science

Discipline: Computer Science, Natural Language Processing

This paper examines how large language models’ (LLMs) political outputs shift when you explicitly prime them with different moral values. Instead of just assigning fake personas (like “pretend to be liberal”), the authors condition models to endorse or reject specific moral values (e.g., utilitarianism, fairness, authority). They then measure how those moral primes move the models’ positions in...

DOI: https://doi.org/10.48550/arXiv.2601.08634