MAN 5147 Leading in the Age of AI

MAN 5147 Leading in the Age of AI

Course code: 
MAN 5147
Department: 
Communication and Culture
Credits: 
15
Course coordinator: 
Sut I Wong
Course name in Norwegian: 
Leading in the Age of AI
Product category: 
Executive
Portfolio: 
Executive Master of Management
Semester: 
2026 Spring
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

As digital and artificially intelligent (AI) technologies advance, the pace, scope, and complexity of change experienced in organizations have reached unprecedented levels. Leading in this context requires having both a “digital mindset” regarding technological transformation, and an understanding of how to relay and support technological innovation and adoption responsibly in one’s team.

Given the demands of leading in highly digitalized and increasingly AI-augmented workplaces, this course has three foci. The first is aimed at understanding the drivers and implications of one’s own mindset about technological change and learning how self-regulate one’s thinking and behavior more effectively in this work environment. The second is concerned with how to lead others such that they have the mindset and motivation to keep pace with technological change and to engage in the transformation needed in this context. The third is concerned with how to lead the implementation of advanced technologies at work responsibly, to ensure that they are deployed, used, and managed in a way that upholds the legitimate interests and fundamental rights of the stakeholders involved.

This course is relevant for leaders in both private and public organizations and across industries. By attending this course, leaders will develop the knowledge and skills to lead more effectively and responsibly in an age where digitalization and AI-augmentation is a reality.

Learning outcomes - Knowledge

By the end of the course, participants should:

  • Have more comprehensive knowledge about different issues related to managing team collaboration, technology adoption, employee adaptation and innovation processes in  digitalized and AI-augmented work contexts, and what relevant solutions for different issues might be.
  • Better understand what the different drivers and implications of behavior are in digitalized and AI-augmented work settings, and as a result better understand how to more effectively lead oneself and others in the digital/AI age.
  • Better understand the challenges and ethical implications of workplace digitalizaton and AI augmentation for stakeholders involved.
Learning outcomes - Skills

Participants completing the course should be able to:

  • Apply knowledge gained in the course to identify and analyze issues related to the changes and challenges faced in increasingly digitalized and AI-augmented workplaces, and come up with reasonable solutions to address these issues.
  • Apply techniques and tools learned in the class to facilitate more effective communication, adaptation, technology adoption, and innovation processes within their teams.
  • Apply knowledge gained in the course to create a workplace that motivates team members to embrace change and realize their potential through new technology.
  • Monitor and mold their own behavior to become a more effective and responsible leader in this context.
  • design a technology implementation road map in organizations by identifying team skills, and potential resistance to AI/technology integration.
General Competence

As a result of this course, participants should:

  • Develop a better understanding the different responses they themselves and their employees could have towards the changes and challenges that arise in increasingly digitalized and AI-augmented work contexts, and what positive actions can be taken to improve these responses.
  • Develop a broader competence for leading digital transformation initiatives, particularly as it relates to taking a human-centered approach.
  • Be able to critically consider and responsibly manage the ethical implications of workplace digitalization/AI-augmentation, including risks associated with privacy, bias, and job displacement.
Course content

Topics covered in the course include:

  • The workplace of the future: Major trends and challenges related to leading in digitized workplaces and digital transformation initiatives.
  • Implementing agile, digital teamwork: Learning agile implementation methodology, strategy and the benefits of working within or executing a flexible project plan.
  • Digital mindset: How fundamental beliefs about technological change influence perceptions of and responses to workplace technology, and how to identify, develop, leverage, and manage these beliefs in oneself and others.
  • Crafting jobs around new workplace technology: How job design can be leveraged to unlock and unleash the potential of new technology.
  • Ensuring responsible technological transformation: Leaders role in ensuring the responsible implementation and use of advanced technological systems and preventing potential ethical issues.
Teaching and learning activities

This course is conducted through a combination of on-campus and online learning modules. There are two (2) on-campus modules both consisting of two (2) full day class sessions. The online modules will combine different web-based learning activities, to be completed both individually (e.g., reading, reflection activities) and in groups (e.g., open discussions). The combination of the on-campus and online learning modules equals 75 lecturing hours over one semester.

Please note that while attendance of the on-campus modules is not compulsory, it is the student's own responsibility to obtain any information provided in class that is not included on the learning platform (Insendi) or in other course materials.

Students attending the course are evaluated through a 72-hour individual home exam and a term paper. Both evaluations must be passed to obtain a certificate for the course. 

The 72-hour individual home exam accounts for 40% of the total grade and consists of two parts. The sum of the grades from the two parts will contribute to the total grade of the 72-hour individual home exam. Student will submit both parts in one document within the exam deadline given.

Part I: Self-reflection paper (20%): In this short written assignment, students will analyze their learning from the online activities and reflect on how they have applied this learning in practice (or their thoughts about how it could be applied).

Part II: Online contribution (20%): Student’s online contribution will be evaluated based on the extent to which they participate in online module learning activities. Students will submit a report compiling all of their online contributions with screenshots.

Students who must retake the 72-hour individual take home exam will be given a self-reflection based assignment that accounts for 40% of the total grade.

The term paper accounts for 60% of the total grade, and may be written individually or up to groups of three, maximum.

Term paper supervision/guidance differ in each Executive Master of Management course. Given the nature of the term paper assignment in this course, students will receive developmental consultation on their papers throughout the course based on their submission of up to five (5) intermediate assignments. This consultation accounts for approximately 2 hours of supervision/guidance per term paper.

The term paper complies with national regulation regarding the independent work requirements for a master’s degree, equivalent to 9 ECTS credits per course. For the Executive Master of Management degree, the independent work required for the degree represents the sum of term papers from all the taken courses/programmes.

Insendi will be used as the courses online learning platform.

Software tools
Software defined under the section "Teaching and learning activities".
Additional information

A selection of articles will be made available prior to course start. Articles will be from journals such as Academy of Management Journal, Harvard Business Review, Human Resource Management, Human Resource Management Journal, Journal of Organizational Behaviour, as well as from other relevant journals and sources.

There may be other material distributed during the course that is relevant for course activities and the examination.

Qualifications

Bachelor degree, corresponding to 180 credits from an accredited university, university college or similar educational institution. The applicant must be at least 25 years of age and at least four years of work experience. For applicants who have already completed a master’s degree, three years of work experience are required.

Disclaimer 

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Submission PDF
Weight: 
40
Grouping: 
Individual
Duration: 
72 Hour(s)
Comment: 
Individual 72 hours home exam, counting 40% of the total grade.
Exam code: 
MAN 51471
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Exam category: 
Submission
Form of assessment: 
Submission PDF
Weight: 
60
Grouping: 
Group/Individual (1 - 3)
Duration: 
1 Semester(s)
Comment: 
Term paper, counting 60% of the total grade.
Exam code: 
MAN 51472
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
32 Hour(s)
On-campus teaching
Digital resources
  • Interactive video
  • Interactive websites
43 Hour(s)
Webinars and online teaching
Student's own work with learning resources
321 Hour(s)
Self-study online/offline and term paper/exam
Feedback activities and counselling
4 Hour(s)
Sum workload: 
400

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 15 ECTS credit corresponds to a workload of at least 400 hours.

Reading list