竞争中的AI伦理愿景：OpenAI案例研究

摘要

引言：不同行为主体和利益相关方群体对人工智能伦理的界定存在显著差异。本文通过OpenAI案例研究，分析其人工智能伦理论述的演变轨迹。研究方法：我们聚焦以下核心问题——OpenAI如何随时间推移在公开论述中运用"伦理""安全""对齐"及相邻概念？这些论述如何反映其实际伦理框架？通过整理公开文档，我们构建了区分大众传播与学术传播的结构化语料库。分析过程：采用质性内容分析法，结合归纳推导与演绎应用的编码规则对伦理主题进行解析；同时运用自然语言处理技术进行量化内容分析，通过主题建模和修辞演变计量呈现可视化结果。为保障研究可复现性，相关代码已发布于https://github.com/famous-blue-raincoat/AI_Ethics_Discourse。研究结果：数据显示安全与风险论述在OpenAI的公开传播中占据主导地位，但并未采用学术界及倡导机构惯用的伦理框架或术语体系。结论部分：本文阐述了该发现对治理机制的启示，并就产业界存在的"伦理洗白"现象展开讨论。

English

Introduction. AI Ethics is framed distinctly across actors and stakeholder groups. We report results from a case study of OpenAI analysing ethical AI discourse. Method. Research addressed: How has OpenAI's public discourse leveraged 'ethics', 'safety', 'alignment' and adjacent related concepts over time, and what does discourse signal about framing in practice? A structured corpus, differentiating between communication for a general audience and communication with an academic audience, was assembled from public documentation. Analysis. Qualitative content analysis of ethical themes combined inductively derived and deductively applied codes. Quantitative analysis leveraged computational content analysis methods via NLP to model topics and quantify changes in rhetoric over time. Visualizations report aggregate results. For reproducible results, we have released our code at https://github.com/famous-blue-raincoat/AI_Ethics_Discourse. Results. Results indicate that safety and risk discourse dominate OpenAI's public communication and documentation, without applying academic and advocacy ethics frameworks or vocabularies. Conclusions. Implications for governance are presented, along with discussion of ethics-washing practices in industry.

竞争中的AI伦理愿景：OpenAI案例研究

Competing Visions of Ethical AI: A Case Study of OpenAI

摘要

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