Vorlesung: 2.01.810 Explainable Artificial Intelligence - Introduction and Application Design - Details

Vorlesung: 2.01.810 Explainable Artificial Intelligence - Introduction and Application Design - Details

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Veranstaltungsname Vorlesung: 2.01.810 Explainable Artificial Intelligence - Introduction and Application Design
Untertitel inf810
Veranstaltungsnummer 2.01.810
Semester SoSe2024
Aktuelle Anzahl der Teilnehmenden 7
erwartete Teilnehmendenanzahl 12
Heimat-Einrichtung Department für Informatik
Veranstaltungstyp Vorlesung in der Kategorie Lehre
Vorbesprechung Donnerstag, 11.04.2024 15:00 - 16:00
Nächster Termin Montag, 26.08.2024 09:00 - 18:00, Ort: (https://ruhr-uni-bochum.zoom.us/j/65513648410?pwd=L2FqZ1JTL3BtNEtySmYvd3lFVldTdz09 Meeting-ID: 655 1364 8410 Passwort: 211942)
Art/Form V+Ü
Voraussetzungen Participation requirements:
• Basic knowledge in Artificial Intelligence/Machine Learning
• Interest in the scientific development and evaluation of IT artifacts, which goes hand in hand with literature work
• Willingness to deal with qualitative and/or quantitative evaluation methods
• Interest in prototyping

Recommended prior knowledge:
• Basic knowledge of artificial intelligence and/or relevant programming skills (e.g., Python)
• Familiarity with software for the design of prototypical information systems
(e.g., for user interfaces)
Lernorganisation Course goals:
• Become acquainted with the research field of Explainable Artificial Intelligence (XAI)
- Become acquainted with different methods and techniques from the field of Explainable Artificial Intelligence (XAI) as well as their characteristics
- Hands-on experience creating XAI systems
Leistungsnachweis In addition to compulsory attendance at the block seminar, the examination performance will consist of a practical paper or a term paper.
Lehrsprache deutsch und englisch
ECTS-Punkte 6

Räume und Zeiten

(https://ruhr-uni-bochum.zoom.us/j/64420138652?pwd=YlFnV29QZU9JN2YxaGlnSGNkU3Fsdz09 Meeting-ID: 644 2013 8652 Passwort: 795103)
Donnerstag, 11.04.2024 15:00 - 16:00
(https://ruhr-uni-bochum.zoom.us/j/65513648410?pwd=L2FqZ1JTL3BtNEtySmYvd3lFVldTdz09 Meeting-ID: 655 1364 8410 Passwort: 211942)
Montag, 26.08.2024 - Freitag, 30.08.2024 09:00 - 18:00
(https://meeting.uol.de/b/han-vns-sjl-irq)
Montag, 30.09.2024 09:00 - 13:00

Kommentar/Beschreibung

This course combines theoretical foundations from the field of Explainable Artificial Intelligence (XAI) with practical implementations for real-world problems. The course is stuctured in 4 parts:
Part I includes the research of the theoretical background of Explainable Artificfial Intelligence (XAI).
Part II is a 1-week programming block seminar covering the basics of XAI.
In Part III, you will build and evaluate your own real-world XAI application and write a term paper.
Part IV is a presentation and feedback session.

Please download the instructions for the assignment to get a detailed overview of the course structure.

This module will be held in cooperation with students from the Ruhr University Bochum (Prof. Dr. Christian Meske). The entire course takes place online.
All course materials will be made available in the cloud storage of the Ruhr Universität Bochum. To access them, please create an account by following the steps below:

1. https://moodle.ruhr-uni-bochum.de/login/index.php
2. create a new account ("Neues Konto anlegen")
3. accept the "Terms of Use
4. accept the "Privacy Policy
5. fill in the document
5.1 Reason for creating an account Participation in a course (study outside the RUB) ("Grund für die Erstellung des Kontos: Teilnahme an einer Lehrveranstaltung (Studium außerhalb der RUB)")
6. confirm your email address via the link in RUB Moodle: Confirmation of access (mail may take a few minutes)
7. search for the course: 'Erklärbare Künstliche Intelligenz - Programmierpraktikum SS24 (SoSe 2024)' (Password: XaiSOse2024)
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