KOM11 Artificial Intelligence for Business Communication

• Topics

  This course explores how generative AI (GenAI) can be purposefully applied in business communication. You will be introduced to key communication models and core principles of effective business communication. You will gain a foundational understanding of large language models (LLMs) and how these technologies support various communication tasks in business settings.

  A central focus of the course is the co-creation of spoken communication materials with GenAI (AI-assisted communication). You will use GenAI tools to draft, refine and analyze spoken business communication.

  Throughout the course, we will explore:

  • The appropriateness, accuracy and reliability of AI-generated content.
  • The role of human agency and decision-making in AI-assisted communication.
  • Ethical considerations in using GenAI for business communication.

  By the end of the course, you will be equipped with skills needed to use GenAI tools responsibly and effectively in professional communication contexts.

• Learning outcome

  Knowledge

  Upon completion of the course, you will have gained knowledge about:

  • key models and principles of business communication.
  • the basic functioning of large language models (LLMs) and their relevance to communication tasks, as well as their limitations.
  • ethical challenges and considerations related to the use of GenAI in business communication contexts.
  • the role of human agency in AI-assisted communication processes.

  Skills

  Upon completion of the course, you will be able to:

  • apply GenAI tools to draft, revise, and analyze spoken business communication materials such as business presentations.
  • evaluate the appropriateness, accuracy and reliability of AI-generated content.
  • reflect critically on the role of AI in shaping oral communication processes.

  General competence

  Upon completion of the course, you will have the ability to:

  • collaborate effectively in groups.
  • provide and receive constructive feedback.
  • assess an audience and adapt messages to an audience.
  • reflect on your own learning and development.

• Teaching

  KOM11 is a course where communication and interaction are in focus. The teaching will consist of introductions to relevant topics and case activities related to spoken business communication tasks. Participation in case activities during class hours will prepare you for the elements in the exam portfolio.

  Considerable parts of the course will be integrated with a similar course offered to bachelor students in business and administration at NHH. Together, you will explore how AI is transforming business communication.

• Credit reduction due to overlap

  KOM10

• Compulsory Activity

  • One group presentation. The groups will consist of 3-4 students, and the presentations must be completed at the end of the lecture week at NHH.
  • One individual peer-feedback form.

  The mandatory activity (work requirement) is only valid in the semester in which it was obtained.

• Assessment

  One filmed individual business presentation (60%).

  One personal learning reflection, submitted either as a filmed oral presentation or a written text, to be delivered at the end of the course (40%).

  Due to the nature of the assessment, students have the right to appeal.

  All parts of the assessment must be submitted in the same semester.

• Grading Scale

  A-F

• Computer tools

  The course requires the use of various GenAI tools. You may need to create user accounts for additional tools to complete in-class activities, the compulsory assignments and the exam tasks.

• Literature

  Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence [Article]. Science, 381(6654), 187-192. https://doi.org/10.1126/science.adh2586

  Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations. Journal of Computer-Mediated Communication, 25(1), 89-100. https://doi.org/10.1093/jcmc/zmz022

  Mieczkowski, H., Hancock, J. T., Naaman, M., Jung, M., & Hohenstein, J. (2021). AI-Mediated Communication: Language Use and Interpersonal Effects in a Referential Communication Task [Article]. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), Article 3449091. https://doi.org/10.1145/3449091

• Retake

  Retake in KOM11 will not be offered during the non-teaching semester (autumn). Only mandatory bachelor courses with an individual written school exam or a home exam lasting up to one day will have a retake assessment in the non-teaching semester.

  For detailed information regarding the retake policy, please visit our website: https://www.nhh.no/en/for-students/examinations/retake-of-exams (copy URL).