In today's rapidly evolving AI landscape, generative AI is rapidly reshaping how engineering professionals communicate, collaborate, and make decisions in global technical workplaces. Effective AI use requires more than simply prompting skills; it requires practical, human-centered strategies to ensure clarity, accuracy, and professional accountability.
This three-hour live virtual training introduces practical, human-centered strategies for using generative AI responsibly in engineering contexts, focusing on audience-aware prompting, technical summarization, and responsible collaboration.
Attendees will learn how to:
- Use generative AI more effectively and responsibly for engineering and technical communication tasks in professional workplace contexts.
- Design prompts that reflect audience, purpose, genre, organizational context, and technical communication goals.
- Critically evaluate and revise AI-generative outputs for clarity, accuracy, professionalism, and contextual appropriateness.
- Adapt AI-assisted communication for diverse stakeholders, including technical teams, managers, clients, and cross-cultural collaborators.
- Use generative AI to summarize complex technical information for decision-making and non-technical audiences.
- Recognize common risks and limitations of generative AI, including hallucinations, generic outputs, hidden assumptions, and inappropriate automation.
- Apply human rhetorical judgment and ethical decision-making when integrating AI into engineering communication workflows.
- Develop reusable AI-assisted communication strategies that support more efficient, consistent, and responsible professional collaboration.
Who Should Attend?
- Engineers and Technical Professionals
- Engineering Managers and Team Leaders
- Project Managers and Cross-Functional Professionals
- Early-Career Engineers and Graduate Students
- Global and Cross-Cultural Collaborators
This live virtual training event is part of the 2026 IEEE eLearning Front List. Access to the live training and future on-demand content is available via IEEE Xplore and the IEEE Learning Network to customers who purchase the training or the full IEEE eLearning Library collection.
Instructor: Dr. Hua Wang
Dr. Hua Wang, associate teaching professor in the Engineering Communication Program at Cornell University, is an expert in technical communication, intercultural communication, engineering communication pedagogy, and responsible AI. As a leader of interdisciplinary and international projects, she brings deep expertise in examining how generative AI shapes language, cultural, and ethical decision-making across diverse cultural settings. She holds a Ph.D. in Rhetoric and Technical Communication from Michigan Technological University and has published widely on technical communication and engineering education, emphasizing the development of practical, transferable skills that enable students to communicate clearly, responsibly, and effectively in AI-enabled workplaces.
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