Preparing Future Technical Editors for an Artificial Intelligence-Enabled Workplace

Jennifer C. Mallette Boise State University

Abstract

How should instructors adapt technical editing courses to account for generative artificial intelligence (AI)? This article addresses what generative AI means for technical editing pedagogy. While AI tools may be able to address rote editing tasks, expert editors are still needed to provide accessible, ethical, and justice-oriented edits. After reviewing impacts of generative AI on editing praxis, the author focuses on the microcredentials that she built into an editing course in order to address these impacts pedagogically. The goal was to enable students to understand AI, argue for their expertise, and edit from ethical and social justice perspectives.

Journal
Journal of Business and Technical Communication
Published
2024-07-01
DOI
10.1177/10506519241239950
Open Access
Closed
Topics

Citation Context

Cited by in this index (4)

  1. Technical Communication Quarterly
  2. Journal of Technical Writing and Communication
  3. Journal of Business and Technical Communication
  4. Technical Communication Quarterly

Cites in this index (0)

No references match articles in this index.

Also cites 7 works outside this index ↓
  1. 10.1145/3472714.3473619
  2. 10.1109/TPC.2021.3137666
  3. 10.37514/TPC-B.2023.1923.2.11
  4. 10.37514/TPC-B.2023.1923.2.32
  5. 10.1145/3309578.3309586
  6. 10.4324/9781351132756-9
  7. 10.1145/3472714.3475817
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