This essay demonstrates the value of using artificial intelligence (AI) technologies to address specific kinds of research questions in rhetoric. The essay builds on a study of a novel rhetorical object first observed by Yang on the Reddit subreddit r/wallstreetbets. We demonstrate how the rhetorical structure of "pathologics" (1) generated a kind of rhetorical authority that can be measured by higher-than-average user engagement on Reddit and (2) circulated from Reddit into more traditional legacy media. Through our research on the rhetorical circulation of pathologics, we argue that researching rhetoric with AI can center new ways of knowing about concepts relevant in rhetoric, like circulation and rhetorical ecosystems. Further, we argue that researching rhetoric with AI always also entails considering a "rhetoric of AI," requiring critical attention to the platforms, infrastructures, and data sources connected to AI systems.

OpenAI's ChatGPT is a large language model (LLM) that excels at generating text and public controversy. Upon its release, many marveled at its ability to author intelligible and generically responsible texts (Herman). Writing about his students' experiences using artificial intelligence (AI) writing assistants, S. Scott Graham remarks that the results were "consistently mediocre—and usually quite obvious in their fabrication." Why might this be true? How can an LLM succeed in some respects and fail in others? We argue that the discrepant reactions to human and AI rhetoric are a question of genre, specifically that AI rhetoric is only generic; AI rhetoric represents a new enactment of "writing degree zero" (Barthes) that is disengaged from immediate rhetorical situations and knowledge bases. AI text generators (currently) have a more difficult time simulating the positioned perspectives that human writers bring to situations and communicate to audiences through their genre usage. Drawing on the work of Bakhtin, we treat this problem as a question of generic form and audience addressivity. We describe the interplay of form and addressivity as genre signaling and offer it as a construct for the analysis of AI rhetoric and genre as a cultural form (Miller). Genre signaling (Hart-Davidson and Omizo) describes a feature of communicative behavior as it occurs over time that can help both humans and machines evaluate written discourse as it exhibits certain stabilized formal features. When texts contain specific genre signals at expected frequencies and intensities, it may be recognized as being generally accurate, reliable, trustworthy. Without these signals, a text with a similar topical focus might fail to be taken as credible or useful. In this essay we propose to quantify genre signaling based on three measures: (1) stability, (2) frequency, and (3) periodicity.

The convergence of artificial intelligence technologies with the growth of Christo-fascist movements in the United States presents an alarming threat to women's health, especially considering known privacy violations by the major players—all in the shadow of the US Supreme Court's reversal of Roe v. Wade. These violations are ethotic; that is, they betray information that has been mined algorithmically to construct "user models," bits and pieces of which are sold or otherwise circulated without true "user" consent or cooperation. Such models are best understood as algorithmic ethopoeia, mathematized representations of individuals charted as matrices of commodified categories for commercial trafficking, but also for politicians and law enforcement. Taking inspiration from abolitionist tools for resisting intersectional racism, and incorporating data feminism, we offer six categories of design heuristics to respect and maintain ethopoeic integrity, especially in the domain of women's health in a post-Roe technological landscape, using a fundamental rhetorical concept to serve designers, as well as critics and activists.

Rhetoric is a trace retained in and by artificial intelligence (AI) technologies. This concept illuminates how rhetoric and AI have faced issues related to information abundance, entrenched social inequalities, discriminatory biases, and the reproduction of repressive ideologies. Drawing on their shared root terminology (stochastic/artifice), common logic (zero-agency), and similar forms of organization (trope+algorithm), this essay urges readers to consider the etymological, ontological, and formal dimensions of rhetoric as inherent features of contemporary AI.

Artificial intelligence (AI), particularly generative AI, provides a unique opportunity to reexamine how affect, memory, authenticity, embodiment, and authorship are conceptualized and discussed in rhetorical scholarship. This is particularly significant as affective experiences resulting from communication with AI are increasingly normative due to the public-facing nature of many large language model chatbots. Drawing first on a recent case wherein an AI user produced a chatbot facsimile of her childhood self, this article suggests that affective changes facilitated by AI represent not only new avenues for exploring affect, but also how time itself is experienced.