arXiv:2606.16127v1 Announce Type: new Abstract: The worldwide surge of authoritarianism, combined with the increasing central role in users' everyday lives, raises the question of to what extent specific models exhibit or promote authoritarian attitudes and characteristics. We introduce AuAu, a comprehensive benchmark that aims to assess the risk of LLMs generating responses with authoritarian tendencies. This benchmark combines three evaluation approaches: (i) psychometric questions from an extensive pool of 15 human validated instruments; (ii) contextual behavior vignettes probing intended a
The increasing integration of Large Language Models (LLMs) into everyday life, combined with a rise in global authoritarianism, necessitates urgent investigation into how these powerful models might propagate specific political ideologies.
A strategic reader should care because unchecked biases in LLMs can subtly influence public opinion at scale, potentially supporting authoritarian regimes or undermining democratic principles globally.
The existence of a dedicated benchmark like AuAu allows for systematic auditing of LLM tendencies towards authoritarianism, enabling developers and regulators to identify and correct potential ideological alignments.
- · AI ethics researchers
- · Democratic institutions
- · Developers of unbiased LLMs
- · Open societies
- · Authoritarian regimes
- · LLMs with unmitigated biases
- · Bad actors seeking to manipulate AI
This benchmark will enable the identification and mitigation of authoritarian biases within large language models.
Increased scrutiny and public awareness regarding AI's ideological alignments could lead to regulatory frameworks for AI content moderation.
The development of 'democratic AI' principles and standards could become a new geopolitical battleground for technological influence.
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