Modulbeschreibung
User-Centered Design 5 (Human-Centered AI)
Kürzel:
M_UCD5
Durchführungszeitraum:
HS/25-HS/26
ECTS-Credits:
4
Lernziele:
Artificial Intelligence is transforming the design of digital products from the development of individual user interfaces towards the design of human–AI systems. This module enables students to conceive, prototype, and critically reflect on AI-based solutions from a human-centered perspective. Particular emphasis is placed on human–AI collaboration, trust, transparency, and responsibility.
Verantwortliche Person:
Prof. Dr. Stolze Markus (SMAR)
Standort (angeboten):
Rapperswil-Jona
Empfohlene Module:
Skriptablage:
Modultyp:
Wahlpflicht-Modul für Digital Design STD_24(Empfohlenes Semester: 5)
Semester Empfehlung:
Keine Semester Empfehlung für dieses Modul vorhanden.
ECTS-Credits pro Kategorie
User-Centered Design / 4 Credits
Modulbewertung
Bewertungsart:
Note von 1 - 6
Leistungsbewertung
Während der Prüfungssession:
Prüfung nach spezieller Definition
Während des Semesters:
Abschlusspräsentation im Semester & Projektdokumentation
Bewertungsart:
Note von 1 - 6
Kurse in diesem Modul
User-Centered Design 5 (Human-Centered AI)
Kürzel:
UCD5
Semester:
1
Lernziele:
Fachkompetenzen:
Students are able to
- explain the foundations, potential, and limitations of modern AI systems.
- apply Human-Centered AI principles in the design of digital products and services.
- design human–AI collaboration at the interaction, process, and system levels.
- assess opportunities, risks, and impacts of AI systems.
- develop and communicate human-centered AI concepts and prototypes.
Methodenkompetenzen:
Students are able to
- analyze usage contexts and requirements.
- apply Human-Centered AI methods and frameworks.
- conceive and visualize human–AI systems.
- evaluate and validate concepts through prototyping.
Selbstkompetenzen:
Students are able to
- critically reflect on AI systems and their implications.
- take responsibility for design decisions.
- deal with uncertainty and complexity in AI-based systems.
Sozialkompetenzen:
Students are able to:
- collaborate in interdisciplinary teams.
- consider diverse stakeholder perspectives.
- communicate design decisions effectively to different audiences.
Plan und Lerninhalt:
- Foundations of Artificial Intelligence
- Human-Centered AI and relevant design frameworks
- Human–AI interaction and collaboration
- Trust, transparency, control, and responsibility
- Data, systems, and the socio-technical embedding of AI
- Design, prototyping, and evaluation of AI-based solutions
- Risks, governance, and regulatory frameworks
- Development of a Human-Centered AI concept and prototype
Unterrichtssprache:
Englisch
Bibliographie:
Course materials provided by the lecturers.
Kursart:
Durchführung gemäss Stundenplan
Vorlesung mit 2 Lektionen pro Woche
- Max. Teilnehmer:28
- Harte Grenze:ja
Uebung mit 2 Lektionen pro Woche
- Max. Teilnehmer:28
- Harte Grenze:ja