对比中美大模型的地缘政治偏见，发现虽有立场差异但部分回答出人意料一致。
Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models
- 对比ChatGPT与DeepSeek对地缘政治问题的回答，分析其意识形态倾向。
- 两国模型在敏感议题上回应存在明显偏见，但部分问题答案高度相似。
- 提醒公众警惕AI内容对舆论的潜在影响，尤其在政治敏感场景中。
大型语言模型（LLMs）已成为生成类人文本的强大工具，深刻改变人机交互方式。然而，其广泛应用引发了对公共舆论引导和政治叙事塑造的担忧。本文研究美国与中国大模型在地缘政治领域的偏见，聚焦其对国际关系相关问题的回应。我们收集了ChatGPT与DeepSeek对一组地缘政治问题的回答，并通过定性与定量分析评估输出结果。研究发现，两类模型均表现出显著偏见，反映不同的意识形态立场与文化影响。尽管如此，在特定问题上，模型回应出乎意料地趋同，表明它们在处理敏感话题时未必呈现直接对立观点。本研究揭示了LLMs塑造公共话语的潜力，强调在政治敏感语境下批判性审视AI生成内容的重要性。
原文摘要 · Abstract (English)
Large Language Models (LLMs) have emerged as powerful tools for generating human-like text, transforming human-machine interactions. However, their widespread adoption has raised concerns about their potential to influence public opinion and shape political narratives. In this work, we investigate the geopolitical biases in US and Chinese LLMs, focusing on how these models respond to questions related to geopolitics and international relations. We collected responses from ChatGPT and DeepSeek to a set of geopolitical questions and evaluated their outputs through both qualitative and quantitative analyses. Our findings show notable biases in both models, reflecting distinct ideological perspectives and cultural influences. However, despite these biases, for a set of questions, the models' responses are more aligned than expected, indicating that they can address sensitive topics without necessarily presenting directly opposing viewpoints. This study highlights the potential of LLMs to shape public discourse and underscores the importance of critically assessing AI-generated content, particularly in politically sensitive contexts.
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