• How can AI assist me in design and planning?
• What is evidence-based planning in housing?
• Which AI methods can I use effectively, and for what purposes?
• How do I set up an experiment?
• How do I formulate a research question?
• What tools can I already use today?
• ChatGPT, Gemini, etc., on my own computer?

Short Description

This research field serves as a practical introduction to the opportunities and risks of Artificial Intelligence (AI).
The central goals are to provide the necessary foundational knowledge, understanding, and evaluation for the responsible use of the wide range of methods and techniques to create new, appropriate AI-assisted content.

AI use in research continuously increases, yet research competencies are rarely taught in architectural education. This raises questions such as:

• How can AI help me formulate a research question?
• How do I set up an AI experiment?
• What tools can I use today?

Through a combination of teaching units from the fields of design, technology, and aesthetics, these possibilities will be prepared in a practical, understandable, and illustrative way for students, using the example of evidence-based, health-promoting housing.

Content

• This research field focuses on adequately preparing students for the opportunities and risks of Artificial Intelligence, especially in light of recent developments (ChatGPT, Bard, Ferret, Stable Diffusion, etc.). It provides the necessary foundational knowledge, understanding, and evaluation for responsible handling of a broad range of methods and techniques. These skills enable students to create new, appropriate AI-supported content that meets the complex requirements of the built environment.
• The research field serves as a practical entry point into the opportunities and risks of Artificial Intelligence.

Procedure

• The course format is divided into two parts: After a compact introduction during a 4-day workshop in the “white week,” where students prepare presentations in advance, tasks supported by AI will be carried out and discussed weekly. These tasks are derived from the multifaceted requirements of the built environment.
• Through a combination of design, technology, and aesthetics teaching units, these possibilities will be explored and explained practically, comprehensibly, and illustratively for students, using the example of evidence-based, health-promoting housing.
• Building on the foundational AI knowledge developed during the “white week,” individual focus topics from different academic chairs will be further explored.
• A joint colloquium and final workshop will serve as the conclusion.

Dates

• Event: October 10, 2024, 10:30 – 12:00 – Introduction to the topic and distribution of the first assignments.
• After the kick-off event, the next session will occur during the “white week,” featuring a multi-day workshop. Subsequently, sessions will be held regularly on Thursdays from 10:30 to 12:00, with special dates announced in advance.
• Some of the contributions and guidance will be conducted in English.

Day	Date	Time
Thursday	10.10.2024	10:30 – 12:00
Weiße Woche	25.11.2024 – 29.11.2024	09:00 – 17:00
As needed (Thursdays)	from 05.12.2024	10:30 – 12:00