Description

The advent of generative artificial intelligence (GenAI) has received great attention in business and society due to its capabilities of content creation or decision making. Individuals started rapidly to use the capabilities of tools like ChatGPT and Google Gemini for text and image generation, personal recommendations, or decision support. At the same time, organizations are challenged to leverage GenAI but also AI technology in general within their business models, processes, and information systems. (Gen)AI technologies enable executing cognitive tasks which in the past were carried out manually by organizations’ employees. Ultimately, this leads to an increase of automation in organizations. This digital transformation process to higher levels of automation must be managed by organizations. This course will teach concepts about the automation of organizations and their employees leveraging (Gen)AI technologies under consideration of an economic and social perspective.

Course Structure

Learning Objectives

As a result of attending this program, students will be able to:

• describe key concepts of (Gen)AI technologies enabling the increase of automation in organizations.
• understand the historical evolution and describe core concepts of automation to drive organizational efficiency and innovation.
• articulate (Gen)AI integration principles for effectively implementing automation in organizations.
• explore and prototype (Gen)AI-based applications to streamline individual tasks and workflows in the context of organizational automation.

analyze best practices for addressing challenges to ensure adoption of (Gen)AI capabilities for organizational automation from a socio-economic perspective.

Case-studies, No-code exercise & Quiz

The course contains two applied elements:

• Two case-studies in which the students apply the theoretical knowledge about integration of (Gen)AI-based services into an organization
• A No-code exercise in which the students will develop an application using (Gen)AI services to implement automation of their personal workplace

To provide an innovative learning experience we provide a digital learning companion AMSL (https://amsl.app/) to practice the course content in a personalized form. This companion is a mobile application that provides three quizzes. The quizzes are not part of the examination but for practice reasons only.

Organization

The lecture kickoff will take place on April 25, 2025 from 14:00 - 15:30 at Building 10.11 Room 213 (Plenarsaal). More information about the schedule of the lecture, the exercises or any organizational aspect will be posted in advance in the ILIAS course of the lecture (https://ilias.studium.kit.edu/ilias.php?baseClass=ilrepositorygui&ref_id=2601188). For questions regarding the course please use the ILIAS Forum.

Lecture contact: Till Carlo Schellhorn (till.schelhorn∂kit.edu)