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Management of AI in Organizations

  • Enseignant(s):   Y.Shrestha  
  • Titre en français: Management de l'intelligence artificielle dans les organisations
  • Cours donné en: anglais
  • Crédits ECTS: 6 crédits
  • Horaire: Semestre de printemps 2022-2023, 4.0h. de cours (moyenne hebdomadaire)
  •  séances
  • site web du cours site web du cours
  • Formation concernée: Maîtrise universitaire ès Sciences en systèmes d'information
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Last two decades have seen rapid adoption of Artificial Intelligence (AI) algorithms in organizations. AI algorithms have the potential to benefit businesses by reducing coordinating costs and enhancing decision-making accuracy. At the same time, management and adoption of AI in organizations create new challenges. This course explores the integration of AI in Management within business organizations.

At the end of the course, students should be able to:

1. Understand implications of AI in management.

2. Identify opportunities for AI projects and structure a team around it.

3. Identify problems in AI adoption, propose a feasible solution in resolving them and structure and explain its reasoning.

4. Identify opportunities within management for applying AI applications and structuring and organizing such applications.

5. Understand implications of augmenting managerial decision-making with AI.


The course will be divided into various modules and will cover the following topics:

  • Technical Foundations

  • AI and business models

  • AI and Strategy

  • AI and Innovation

  • AI and Decision making

  • Managing AI

  • Algorithmic Management

  • AI Risks & Governance

This course comprises of three components:

1. In-class theoretical lectures: In-class theory lectures are aimed to build a fundamental knowledge of implications of intersection of AI and management.

2. Group work on business cases: Business cases are designed to help students critically examine application of AI in management as well as managing AI projects.

3. Guest lecturers: We will invite guests from industries who are already managing AI or using AI in management.


References and slides will be available in Course Moodle.


As a prerequisite, students should have acquired a basic understanding of information systems and AI algorithms.


1ère tentative

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Evaluation: The evaluation consists of two parts:

  1. Business case study presentations with group assignments (50%; dates of presentation announced by the lecturer in the first few weeks)

  2. Written exam (50%) covering the entire course.

Question and answer language for both "case study presentations" and "written exam" is English.


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Resit exam will be a written exam of 1 hour.

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