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Praxisprojekt "Me-and-my-Chat-GPT: Human-Machine Communication with Text Generators" - Einzelansicht

  • Funktionen:
Grunddaten
Veranstaltungsart Praxisprojekt Langtext
Veranstaltungsnummer Kurztext
Semester SoSe 2023 SWS 12
Erwartete Teilnehmer/-innen Max. Teilnehmer/-innen 30
Credits Belegung Keine Belegpflicht
Zeitfenster
Hyperlink
Sprache Englisch
Termine Gruppe: [unbenannt] iCalendar Export für Outlook
  Tag Zeit Rhythmus Dauer Raum Raum-
plan
Status Bemerkung fällt aus am Max. Teilnehmer/-innen E-Learning
Einzeltermine anzeigen
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Mi. 14:00 bis 16:00 wöch. LF - LF 125       Präsenzveranstaltung
Gruppe [unbenannt]:
 
 


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Chounta, Irene-Angelica, Professorin, Dr.
Zielgruppen/Studiengänge
Zielgruppe/Studiengang Semester Pflichtkennzeichen
Bachelor of Science Angewandte Informatik (Ingenieur- oder Medieninfor, Bachelor of Science Angewandte Informatik (Ingenieur- oder Medieninfor 5 - 6 WP
Bachelor of Science Angewandte Kognitions- und Medienwissenschaft, Bachelor of Science Angewandte Kognitions- und Medienwissenschaft 5 - 5 WP
Master of Science Angewandte Informatik (Ingenieur- oder Medieninfor, Master of Science Angewandte Informatik (Ingenieur- oder Medieninfor 2 - 3 WP
Master of Science Angewandte Kognitions- und Medienwissenschaft, Master of Science Angewandte Kognitions- und Medienwissenschaft 2 - 3 WP
Zuordnung zu Einrichtungen
Informatik und Angewandte Kognitionswissenschaft
Inhalt
Bemerkung

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: 

  1. Explore the interactions between humans and machines as mediated by text-generators using Chat-GPT as the primary example;
  2. Experiment with text-generation algorithms and establish guidelines of good practice in terms of meaningful communication;
  3. 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.


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester SoSe 2023 , Aktuelles Semester: WiSe 2024/25