中立
政治
规范性
观点
生物学与政治取向
实证经济学
偏爱
社会心理学
心理学
工作(物理)
政治学
社会学
法律与经济学
认识论
法学
经济
微观经济学
工程类
艺术
视觉艺术
哲学
机械工程
出处
期刊:Social sciences
[Multidisciplinary Digital Publishing Institute]
日期:2023-03-02
卷期号:12 (3): 148-148
被引量:155
标识
DOI:10.3390/socsci12030148
摘要
Recent advancements in Large Language Models (LLMs) suggest imminent commercial applications of such AI systems where they will serve as gateways to interact with technology and the accumulated body of human knowledge. The possibility of political biases embedded in these models raises concerns about their potential misusage. In this work, we report the results of administering 15 different political orientation tests (14 in English, 1 in Spanish) to a state-of-the-art Large Language Model, the popular ChatGPT from OpenAI. The results are consistent across tests; 14 of the 15 instruments diagnose ChatGPT answers to their questions as manifesting a preference for left-leaning viewpoints. When asked explicitly about its political preferences, ChatGPT often claims to hold no political opinions and to just strive to provide factual and neutral information. It is desirable that public facing artificial intelligence systems provide accurate and factual information about empirically verifiable issues, but such systems should strive for political neutrality on largely normative questions for which there is no straightforward way to empirically validate a viewpoint. Thus, ethical AI systems should present users with balanced arguments on the issue at hand and avoid claiming neutrality while displaying clear signs of political bias in their content.
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