风气
社会学
工程伦理学
美学
商业道德
认识论
政治学
艺术
语言学
哲学
工程类
公共关系
作者
Adrianna Deptula,Paul Thompson Hunter,Richard Johnson-Sheehan
标识
DOI:10.1177/10506519241280639
摘要
This article examines issues of authenticity involved in using generative AI to compose technical and professional communication (TPC) documents. Authenticity is defined through an Aristotelian understanding of ethos, which includes goodwill ( eunoia), practical wisdom ( phronesis), virtuousness ( arete), and Fromm's concepts of true self and pseudo self. The authors conducted an initial analysis of AI affordances that align with TPC concerns—genre, plain language, and grammatical/mechanical correctness. The preliminary results show that these affordances may be limited by issues of inauthenticity. The authors suggest that in order to address AI's limitations, writers should adopt a rhetoric of authenticity via real-world engagement, human centeredness, and personal style.
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