[论文解读] Competing Visions of Ethical AI: A Case Study of OpenAI

Melissa Wilfley, Mengting Ai+1 more|arXiv (Cornell University)|Jan 23, 2026

Ethics and Social Impacts of AI被引用 0

一句话总结

本论文分析 OpenAI 在伦理、安全与对齐等话题的公开话语，显示以安全/风险为主导的框架，学术/倡导伦理词汇的使用有限。它结合定性与计算分析来评估话语如何传达实际框架与治理含义。

ABSTRACT

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.

研究动机与目标

• Check OpenAI 的公开话语如何随时间使用伦理、安全、对齐及相关概念。
• 区分面向一般公众的沟通与面向学术受众的沟通。
• 评估话语如何反映实际框架与治理含义。

提出的方法

• 构建结构化语料库，将面向一般公众的沟通与面向学术受众的沟通从公共文档中分离。
• 对伦理主题进行定性内容分析，采用归纳与演绎编码。
• 应用计算内容分析（NLP）来建模主题并量化随时间的修辞变化。
• 使用可视化方式报告汇总结果。
• 通过在线链接提供可复现实验的代码。

实验结果

研究问题

• RQ1 OpenAI 的公开话语如何随时间利用伦理、安全、对齐及相关概念？
• RQ2 话语就治理与政策层面的实际框架传达了怎样的信号？
• RQ3 面向一般公众的沟通与学术沟通在伦理框架上有何差异？
• RQ4 OpenAI 的材料中学术或倡导伦理词汇的存在程度如何？

主要发现

• 安全与风险话语主导 OpenAI 的公开沟通与文档。
• 在所分析的话语中，学术与倡导伦理框架或词汇并未被广泛应用。
• 话语模式暗示治理含义与行业中潜在的伦理洗白担忧。