Description: Learning Goals and Competencies

• • Obtain a basic understanding of the working mechanisms of Generative AI solutions.
  • Being able to critically reflect working with Generative AI solutions.
  • Critically reflect ethical dimensions of Generative AI solutions as well as potential issues with regard to e.g., privacy and safety.
  • Apply scientific methods, such as systematic literature reviews, qualitative interviews and quantitative surveys, and present their methodology and the results in class.
  • Working and presenting results in a group environment.

Description of the course:

Nowadays, everybody has heard of ChatGPT and many students will certainly have tried to use it, or similar large language models (LLMs) by now for their studies. In this seminar, we will take a closer look on the capabilities and limitations of General Artificial Intelligence (GenAI) and its corresponding LLMs to foster a greater understanding on the subject.

The objective of this seminar is therefore twofold: To study GenerativeAI from an academic perspective by also working with them.

Students are encouraged to already come up with their own ideas for possible seminar papers and presentations on the subject.

Students will be tasked to work on a specific topic and present the results to the group in the seminar week, towards the end of the seminar. The final grade will depend on the written report and the presentation on the topic.

Dates and Times:

Kick-Off Slides: Password will be given during the kick-off

Topic Slides: Already available here

• • • Preliminary list of possible topics:

      (1)Systematic literature review on GenAI
      (2)Technical aspects of GenAI
      (3)Social/Ethical implications of GenAI
      (4)Regulation and GenAI
      (5)Technology adoption of GenAI
      (6)Security/privacy concerns and GenAI
      (7)Technostress through GenAI
      (8)Synthetic data: Pros and Cons
      (9)Use Cases: GenAI in organizations
      (10) GenAI: Output Bias analysis
      (11) GenAI: fake news and content flooding
      (12) GenAI and its impact on teaching
      (13) GenAI: create your own application
      (14) Trust: Human and AI Collaboration
      (15) Your own ideas are welcome!

Prerequisites:

This module is limited to 30 participants.

A two-stage registration procedure with different deadlines applies. You have to take part in both stages!

Stage 1: Application Deadline: 25 March 2024 – 08 April 2024

Module Application via QIS: My Functions > Lectures occupy/sign off (Instruction Module Application)

Stage 2: Exam Registration and Withdrawal Deadline: 11 April 2024 – 24 April 2024

Exam Registration and Withdrawal via QIS: My Functions > Administration of exams (Instruction Exam Registration)

An acceptance in the application procedure entitles students to register for the allocated module, but it does not replace an exam registration. Without an exam registration in stage 2, the allocated module claim of the module application in stage 1 expires!

Assignment of Available Capacities: 25 April 2024 – Detailed information will be published on this website in due time.

For exchange students, module application as well as exam registration and withdrawal is not possible via QIS. Exchange students register or withdraw with a form within the exam registration and withdrawal deadline (not application deadline!). Forms and information are available at the Website of the Faculty's International Office.