Art:Modul
ECTS-Credits:3.0
Plansemester:2
Lektionen / Semester:28.0 L / 21.0 h
Selbststudium:69.0 h
Modulleitung/Dozierende
- Assoz. Prof. Dr. Benjamin van Giffen
(Modulleitung)
Studiengang
Masterstudium Wirtschaftsinformatik (01.09.2019)Lehrveranstaltungen
Beschreibung
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
Lernergebnisse
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
Kompetenzen
Lehrmethoden
• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
Literatur
• No text book, but papers, e.g.,
• Abraham, R., Schneider, J., & Vom Brocke, J. (2019). Data governance: A conceptual framework, structured review, and research agenda. International journal of information management, 49, 424-438.
• Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2023). Artificial intelligence governance for busi-nesses. Information Systems Management, 40(3), 229-249.
Prüfungsmodalitäten
Written exam