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To register for this project, please enroll in Moodle: https://moodle.uni-due.de/course/view.php?id=39077
Description
This project aims to explore the design, use and impact of generative AI systems, and specifically text-generators and language models, from the perspective of human-AI interaction and FATE (Fairness, Accountability, Transparency and Ethics) and in relation to learning.
In particular, we aim to:
- Explore the interactions between humans and machines as mediated by text-generators using Chat-GPT as the primary example;
- Experiment with text-generation algorithms and establish guidelines of good practice in terms of meaningful communication;
- Reflect on the role of AI technologies as a facilitator of human-machine and human-human information exchange, communication, and collaboration.
For this project, we will work in groups of 4 students on a predefined topic (each group will be assigned a different topic). During the first weeks, we will provide an overview of the project, its goals, and related theoretical and practical concepts. Then, the groups will work towards three milestones:
a. An initial presentation of their ideas, strategies and workplans to address the project’s topic;
b. A mid-term presentation of the work-progress up to that point
c. A final presentation of the finished project and a written project report in the form of a scientific article.
Kick-off meeting: Wednesday, April 5th, 2023
Other info
• During the semester, we will offer weekly meetings and consultation sessions.
• Participation in milestone events, weekly meetings, and consultation sessions is mandatory.
• This project will follow a blended-learning format (face-to-face milestone and consultation; online hackathon sprints).
• The working language for this project is English.
• Maximum number of places (students): 20, Registration mode: first come, first served ☺
Target Audience
▪ KOMEDIA Bachelor/ Master
▪ Angewandte Informatik Bachelor/ Master
Date and Location
• Wednesday, 14:00 - 16:00
• Blended Learning (in person meetings, real-time webinars, video recordings, group consultation sessions). In person meetings will take place at LF125
Prerequisites
• Basic knowledge of data analysis and programming (Python)
• Interest in human-computer interaction and Artificial Intelligence
• Imagination (wild)
Instructor
• Irene-Angelica Chounta, Prof. Dr.
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