用三维度框架拆解AI舆论，助公众理性辨识夸大言论
VET: A Framework for Analyzing AI Discourse
- 从价值、效能、发展轨迹三维度分类AI舆论
- 识别出AI狂热、末日论、否认论、正常化四种夸大叙事
- 可作公众AI素养工具，帮助批判性审视媒体言论
公众对人工智能的讨论日益两极分化，传统与社交媒体中的过度表述威胁了大众的AI素养。本文提出VET框架，从情感倾向（valence）、实际效能（effectiveness）和未来轨迹（trajectory）三个维度对AI话语进行分类。通过该框架，可识别、比较并批判当前主流的四种论述：AI狂热、AI末日、AI否认与AI正常化。分析显示，每种立场均在不同程度上夸大了当前状态或未来演变。VET框架有助于公众对极化言论进行“审核”，是提升AI素养的有效工具。
原文摘要 · Abstract (English)
Public discourse on AI has become polarized; exaggerated positions on AI in traditional and social media threaten the development of AI Literacy among the general public. In this article, I introduce the VET Framework, a method for categorizing AI discourse along the dimensions of valence, effectiveness, and trajectory. I show how this framework can be used to identify, compare, and critique prevalent narratives of AI Hype, AI Doom, AI Denial, and AI Normalcy. Using VET, I analyze how each of these four stances exaggerates some aspects of the current state and/or likely evolution of AI, and illustrate how the VET framework can serve as an AI Literacy tool by supporting the ``vetting'' of polarized AI discourse.
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