Course Contents
Recent discussions on artificial intelligence, particularly the notion of “Infinite Minds” proposed by Ivan Zhao, emphasize that AI should not be understood merely as a tool for efficiency, but as a structural transformation reshaping how knowledge, work, and production are organized. While challenging existing labor structures, this transformation also offers opportunities to expand cross-domain capabilities, shifting human roles toward coordination, supervision, and intervention within teams of AI agents, each assigned a distinct professional role with domain-specific skills aligned with its responsibilities.
This seminar positions students as organizers and orchestrators of agentic AI systems. Following a shared introductory phase covering human-in-the-loop systems, AI-assisted research, and AI-mediated vibe coding, students develop individual projects along one of two directions: (1) knowledge-oriented investigations into AI theory, practice, and ethics, including critical studies, analysis, and visualization; or (2) design-oriented explorations focused on developing computational tools and workflows through AI-mediated coding. Programming is not treated as a prerequisite human skill. Instead, the course emphasizes system thinking, conceptual clarity, and informed intervention in AI-driven processes across digital design, fabrication, and robotic assembly.
Expected Number of Participants
25
Further Information
[url=https://www.dg.architektur.tu-darmstadt.de/studium/semesterprogramm_aktuell/semesterprogramm.en.jsp]semester program DDU[/url]
Additional Information
[url=https://www.dg.architektur.tu-darmstadt.de/studium/semesterprogramm_aktuell/semesterprogramm.en.jsp]Semester program[/url]
Online Offerings
Moodle
Recent discussions on artificial intelligence, particularly the notion of “Infinite Minds” proposed by Ivan Zhao, emphasize that AI should not be understood merely as a tool for efficiency, but as a structural transformation reshaping how knowledge, work, and production are organized. While challenging existing labor structures, this transformation also offers opportunities to expand cross-domain capabilities, shifting human roles toward coordination, supervision, and intervention within teams of AI agents, each assigned a distinct professional role with domain-specific skills aligned with its responsibilities.
This seminar positions students as organizers and orchestrators of agentic AI systems. Following a shared introductory phase covering human-in-the-loop systems, AI-assisted research, and AI-mediated vibe coding, students develop individual projects along one of two directions: (1) knowledge-oriented investigations into AI theory, practice, and ethics, including critical studies, analysis, and visualization; or (2) design-oriented explorations focused on developing computational tools and workflows through AI-mediated coding. Programming is not treated as a prerequisite human skill. Instead, the course emphasizes system thinking, conceptual clarity, and informed intervention in AI-driven processes across digital design, fabrication, and robotic assembly.
Expected Number of Participants
25
Further Information
[url=https://www.dg.architektur.tu-darmstadt.de/studium/semesterprogramm_aktuell/semesterprogramm.en.jsp]semester program DDU[/url]
Additional Information
[url=https://www.dg.architektur.tu-darmstadt.de/studium/semesterprogramm_aktuell/semesterprogramm.en.jsp]Semester program[/url]
Online Offerings
Moodle
- Lecturer: Yuxi Liu
- Lecturer: Oliver Teßmann
Semester: ST 2026
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