AI Management, Strategy & Governance (CE-AI)
AI Management, Strategy & Governance (CE-AI)
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Students will explore how to establish effective governance frameworks that enable businesses to leverage AI while managing risks. The curriculum also delves into strategic planning for generative AI, illustrating its potential to revolutionize business models and enhance operational efficiency. Additionally, students will learn about trans-forming companies towards AI companies, including changing organizational culture to thrive in the AI era. Key points are:
• Data and AI governance: Frameworks for businesses for seizing opportunities while mitigating risks
• Data and AI strategy with focus on Generative AI
• AI Transformation: Leading a company into the AI area
• Ethical considerations in AI
• Data and AI governance: Frameworks for businesses for seizing opportunities while mitigating risks
• Data and AI strategy with focus on Generative AI
• AI Transformation: Leading a company into the AI area
• Ethical considerations in AI
Teaching Method
• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
Learning Results
After successful completion of the course, students will
Professional competence
• Gain an understanding of how AI can be integrated into business strategies and operations effectively and ethically.
Methodological competence
• Develop skills in designing and implementing AI governance frameworks and strategies that align with business goals and ethical standards.
Social competence
• Learn to navigate the ethical, social, and cultural challenges associated with AI technologies in a work-place, fostering responsible AI use.
Personal competence
• Enhance critical thinking and ethical reasoning abilities in the context of AI deployment and management.
Technological competence
• Understand implications and handling of weaknesses and strengths of AI technology
Professional competence
• Gain an understanding of how AI can be integrated into business strategies and operations effectively and ethically.
Methodological competence
• Develop skills in designing and implementing AI governance frameworks and strategies that align with business goals and ethical standards.
Social competence
• Learn to navigate the ethical, social, and cultural challenges associated with AI technologies in a work-place, fostering responsible AI use.
Personal competence
• Enhance critical thinking and ethical reasoning abilities in the context of AI deployment and management.
Technological competence
• Understand implications and handling of weaknesses and strengths of AI technology
Assessment Methods
Written exam