Managing AI WISEly Executive Education - Vrije Universiteit Amsterdam

Learn how to manage AI in your organization

The course consists of ten sessions of which the first eight will take place online. For the final two sessions, all participants will meet in person in Amsterdam.

Why this Course is Unique

This course:

goes beyond the hype of AI technologies by using a practice view that sheds light on how AI is actually developed, implemented, and used in organizations
offers a critical and reflective discourse on AI
builds on the assumption that responsible management of AI is not a checklist but requires blurring boundaries between development, implementation, and use
involves many activities that aim to tackle practical challenges and questions that participants have encountered based on their own (organizational) experiences
provides the opportunity to collectively learn, think, analyze, and create

This course does not provide:

a training in specific AI tools
a training in specific data science skills
a formal diploma (but we offer a certificate with successful course completion)
a management strategy program that aims to design a concrete business model, maximize profit and efficiency, or optimize processes

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Block 1: Introduction
Session 1: Setting the Stage
Date: January 31, 2025, 14:00 – 16:00 (CET)
Content overview:
- Introduction of participants and their key challenges and current phases of (Gen)AI implementations
- Introduction to the course and key themes
- Introduction to different types of AI
- Introduction to the assignment
Session 2: Reflections on Technology and Work
Date: February 7, 2025, 14:00 – 16:00 (CET)
Content overview:
- The current hype of AI and other emerging technologies and how to go beyond it
- Technological determinism
- Importance of taking a practice perspective on technology and work
- Ripple effects and unintended consequences of technology at work
Block 2: Managing AI at Work in Practice
Session 3: Introduction to Managing AI Development
Date: February 14, 2025, 14:00 – 16:00 (CET)
Content overview:
- AI development practices
- Organizing for data and validation
- Explainable AI
- Case study
Session 4: Managing AI Implementation and Use
Date: February 21, 2025, 14:00 – 16:00 (CET)
Content overview:
- Changing work practices, roles and identities
- AI as a threat vs. empowerment for users
- Managing role changes
- Case study: AI implementation and use in banking
Session 5: Blurring Boundaries When Managing AI at Work
Date: February 28, 2025, 16:00 – 18:00 (CET)
Content overview:
- How can managers facilitate WISE AI management?
- What are managerial responsibilities and best practices?
- Case study: Air France - KLM
Block 3: Managing generative AI
Session 6: GEnAI: differences and implications for Knowledge Management
Date: March 7, 2025, 14:00 – 16:00 (CET)
Content overview:
- Difference Generative AI and previous AI technologies
- Implications for knowledge management
- Reflections on different use cases
Session 7: Various applications of GenAI
Date: March 14, 2025, 14:00 – 16:00 (CET)
Content overview:
- Gain practical experience with AI tools for real-world business applications
- Learn about the challenges and risks of the use of GenAI in your organization
Block 4: Reflections and Discussions (In-Person)
Session 8: Feedback session on Individual Assignment
Date: March 21, 2025, 14:00 – 16:00 (CET) (time slot with tutor tba)
Assignment: how to manage AI Wisely in your organization?
Session 9: Presentations by participants
Date: March 28, 2025, 10:00 – 12:30 (CET)
Content overview:
- Presentations of assignment
- Collective discussion and reflection on presentations
- Reflections on the course and lessons learned
Session 10: Field-trip
Date: March 28, 2025, 14:30 – 16:30 (CET)
Content overview:
- We will go on a field-trip to an organisation working with (Gen)AI
- Gain insights in how these technologies are used in this organization, how it is incorporated in daily work and how they deal with the challenges they face

Managing AI WISEly

Curriculum

Block 1: Introduction

Session 1: Setting the Stage

Session 2: Reflections on Technology and Work

Block 2: Managing AI at Work in Practice

Session 3: Introduction to Managing AI Development

Session 4: Managing AI Implementation and Use

Session 5: Blurring Boundaries When Managing AI at Work

Block 3: Managing generative AI

Session 6: GEnAI: differences and implications for Knowledge Management

Session 7: Various applications of GenAI

Block 4: Reflections and Discussions (In-Person)

Session 8: Feedback session on Individual Assignment

Session 9: Presentations by participants

Session 10: Field-trip

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