Seminars
Our seminar introduces students to scientific work and academic writing. It involves the review of scientific literature on a selected topic. Students will document their method and results in a written seminar paper and present their findings to other seminar participants at the end of the semester. The seminar language is English.
In the seminar, we focus on current topics in the field of information systems that are situated within the research focus areas of the chair. The theme of the seminar varies and is announced in advance.
The overarching theme of the bachelor and the master seminar is “Design & Impact of LLM-based Information Systems”.
Large Language Models (LLMs) like ChatGPT have revolutionized the field of natural language processing and have broad applications in various domains, including customer service, healthcare, and education. For example, LLM-based chatbots can respond to a wide range of complex customer questions and LLM-based copilots can help software developers in writing better code. The focus of this seminar is to explore the design and impact of information systems based on LLMs. Bachelor and master students will explore the benefits and challenges of LLM-based information systems with a focus on the human perspective rather than the technical aspects. Seminar topics include the impact of LLMs on human behavior, the design of LLM-based information systems for different application areas, and the history of information systems that are designed to interact with humans using natural language. Students will review the scientific literature on one topic for their seminar thesis and engage in group discussions with other students.
Schedule
The planned schedule for both seminars is as follows:
- Application Deadline: Monday, June 24, 2024, at 23:59 pm
- Notification of Seminar Acceptance: Friday, June 28, 2024
- Deadline for acceptance of offered places or withdrawal: Monday, July 15, 2024, at 9:00 AM
- Kickoff Meeting: Monday, October 21, 2024 (12:00 pm - 16:00 pm)
- Q&A Session: Monday, November 25, 2024 (12:00 pm - 14:00 pm)
- Presentations: Monday, January 20, 2025 (12:00 pm - 18:00 pm)
- Deadline for Seminar Paper Submission: Friday, February 7, 2025 at 23:59 pm
Please reserve the two dates (kickoff meeting and presentations) before the announcement of acceptances.
The overarching theme of both the bachelor and the master seminar is "Human-Centered Explainable AI".
Explainable AI (XAI) is the ability of AI-based information systems to explain their behaviors and decisions in understandable terms to humans (e.g., customers, employees, doctors). For example, XAI can be used to provide bank customers with insights into why they were granted or denied a loan by an AI-powered credit scoring system. Bachelor and master students will explore the benefits and challenges of XAI with a focus on the human perspective rather than the technical aspects. Seminar topics include the impact of XAI on human decision-making, psychological foundations on explanations/explainability, laws and regulations related to XAI, and the use of XAI approaches in specific application areas. Students will review the scientific literature on one topic for their seminar thesis and engage in group discussions with other students.
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