This article argues that ethical authorship is essential for the ethical use of artificial intelligence (AI). It examines tensions that historical understandings of authorship have created as instructors and students alike navigate AI technologies. Given these tensions, this article proposes a definition of “ethical authorship” and uses de Colle and Werhane’s moral motivation framework to outline how instructors can use ethical authorship and moral motivation to encourage students’ ethical AI use.

While previous research in business communication has surveyed business and professional communication instructors regarding their courses, it has not yet asked instructors about additional factors that affect their ability to teach and their students’ ability to learn. These factors include job satisfaction, institutional and collegial support, academic rank, physical teaching environment, teaching and learning resources, and student issues. This study examines the results of a survey of business and professional communication instructors regarding these factors, discusses implications for the disciplines of business and professional communication, and suggests additional avenues for advocacy and research.