Content personalization or tailoring content as per the needs of users has been a focus of technical communicators’ work since a very long time. Recently, algorithms have helped trace users’ characteristics such as devices they use, platforms they work on, local language spoken, etc. to personalize content through strategies like responsive content, automatic translation and so on. AI tools have extended algorithmic capabilities for personalization, but at the same time increased the randomness of personalized content. That is, algorithms produce different results for the same user at different times or different results for different users at the same time with the same prompt thus shifting the agency of both rhetors (or content creators) and the audience (or content users). While conventional technical communication pedagogy has focused on writing for users, and more recently on writing for algorithms which serve the users, today it is crucial to understand how technologies like AI impact knowledge consumption processes from a user experience perspective? And how can we teach content personalization and adaptive techniques in the increasingly digital spaces of audience interactions? These questions motivated our research. To follow the roles of algorithms and technical communicators closely, we analyzed three different case studies where algorithms are responsible for a high level of personalization beyond the decisions made by technical communicators. Our findings suggest that we must teach students to investigate concepts such as user personas in UX for understanding audiences, several methods of decision-making for content assets, and rhetorical ecology for a holistic view of content production to dissemination.

Composing with AI provides research about the rise of generative AI in composition studies, focusing on histories, policies, reports of classroom and student use, multimodal composing and teaching AI literacies.

As digital technologies rapidly evolve, updating and enhancing models of digital literacy pedagogy in technical and professional communication (TPC) becomes more urgent. In this article, we use "digital life" to conceptualize the ever-changing ways of knowing and being in postinternet society. Using collaborative autoethnography, we investigate features of threshold concepts in TPC pedagogy that may support models of digital literacy that are resistant to tools-based definitions, foster student agency, and facilitate accessibility, equity, and justice.

Introduction: This article presents the results of an integrative literature review on artificial-intelligence (AI) literacy and AI ethics in technical and professional communication (TPC). This article demonstrates how these concepts have or have not been discussed and studied by the field. By analyzing the literature from adjacent fields and trade journals, this article sets the groundwork for pedagogies and best practices that prepare technical and professional communicators to evaluate AI technologies using ethical perspectives. Research methodology: We used the hermeneutic methodology to conduct a systematic literature review that allowed repeated cycles of searching, filtering, and interpretation across wide-ranging, interdisciplinary academic sources. Following this method to include and exclude sources resulted in a total of 32 articles that describe different case studies, frameworks, theories, and other pedagogical activities to incorporate AI ethics literacy in the curriculum. Results and discussion: Recent trends within AI ethics education document and advocate for a redesign of educational programs and curricula. To be more intentional in adopting AI ethics in pedagogy, we propose a thre -level framework (consisting of institutional, course, and instruction levels) that can be aligned to include AI ethics literacy in course and program objectives and outcomes. By drawing from technical communication work on AI literacy and mapping other TPC work that can be utilized for teaching AI ethics, we recommend incorporating AI ethics in existing courses or new ones. We also list the challenges of choosing one approach over another. Conclusions and further research: A systematic approach to AI pedagogy can help TPC instructors use existing resources to help students use, understand, and evaluate AI technology in strategic ways. This research can be expanded to include new pedagogical approaches, and by drawing connections of AI ethics to specific TPC theory, especially social justice and audience analysis.

As one kind of designed communication, technical communication is created for readers we assume use the content for some situated purpose. Understanding users and their situations to be varied, communicators rely on simplified models of both to create usable content. In many cases, this approach works, but in some commercial sectors, companies are recognizing a need to engage with users directly and to include them in the production of communication. Including users in the production of communication may ease the burden of communicating in ways that are sufficiently detailed, accurate, inclusive, localized, and timely, but these ventures also create challenges of collaboration that direct attention to how users are situated in infrastructures that allow them to act as effective readers and collaborators. This article presents a model of users, situating them amid infrastructures that extend their ability to take rhetorical action. The authors explain and demonstrate a heuristic for analyzing infrastructure as an extension of a user's "mediated potential" for rhetorical action.

The articles in this special issue advance technical and professional communication engagement with accessibility.

Professional writers adapt their skills to suit expanded professional roles that involve production and management of information, but preparation through mere skill-based training is problematic because that communication work is messy in ways that are not addressable through simple skills training. We must understand how skills "influence and shape the discursive activities surrounding their use" (Selber, 1994). This paper reports the results of a study of people trained in humanities disciplines like communication, English, writing studies, technical communication, etc., on how they have found means to employ their training in their workplace and keep what is humanistic about writing and communicating at the foreground of their interactions with information technologies. Instead of focusing on technology alone, this research encourages a unified approach to preparing students for the workplace.