The Use of AI in Decision Making

Präsenzstudium: ca. 42 Std., Eigenstudium: ca. 108 Std.

Grundlagen der Wirtschaftsinformatik und der Wirtschaftswissenschaften etwa aus dem Modul Betriebswirtschaft des Grundstudiums.

Learning Objective

Business activities take place in a global economy where diverse cultures and economic systems continuously meet and collide. To manage these transactions effectively, develop sustainable cross-cultural relationships and promote a sustainable global economy it is important to learn how to make effective decisions within organisational systems. This course introduces the student to essential decision-making strategies and skills. Students also learn how to apply AI decision support systems such as ChatGPT. The course applies evidence-based teaching methodology and active learning strategies to engage students in the learning process. It culminates in a final group project of “AI in Group Decision Making” involving the application of strategies and skills learned during the module.

FACH- & METHODENKOMPETENZ

Die Studierenden erwerben Kenntnisse um selbstständig neue Themen aus dem Bereich AI und Management Decision Making zu identifizieren, sich inhaltlich zu erarbeiten und die Relevanz im Unternehmen einzuschätzen.

• Understand and apply strategies and skills of group decision making,
• Understand the foundations of AI Systems,
• Define the steps of Human-AI Interactions, including strengths, weaknesses and pitfalls
• Analyse and evaluate the Human-AI collaboration within negotiation and decision making processes

Veranstaltungsspezifische Website, Moodle, Tafel und Folien (Powerpoint)

• Russell, S.J. and Norvig, P. eds., 1995. Prentice Hall series in artificial intelligence. Englewood Cliffs, NJ:: Prentice Hall.
• Reinhart, J., & Greiner, C. (2019). Künstliche Intelligenz–eine Einführung. Grundlagen, Anwendungsbeispiele und Umsetzungsstrategien für Unternehmen.
• Cases and other readings used for class discussion and analysis will be made available online