Teaching AI Ethics in Technical and Professional Communication: A Systematic Review

Abstract

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.

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