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Lecturers

Roman Kirschner
(RK), Vinzenz Leutenegger (VL)

Collaboration

This year’s edition of Spatial Interaction takes place in collaboration with the organization of Labör. Labör is an experimental meeting space in a former coppersmith's workshop near Oerlikon station. It is located on the MFO site, a former machine factory whose conversion and further development is currently being promoted by the city of Zurich. In this development Labör puts an emphasis on circularity.

Timeframe

The module takes place over 5 weeks, from April 22 . April to May 22. May , 2025. See the timetable below for detailed hours and classrooms. Class sessions include lectures, discussions, mentoring sessions, in-class exercises, assignments and independent study blocks. Projects are conducted in a team of four students at most.

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The module 'Spatial Interaction' challenges students to deepen their practical and conceptual knowledge of human interactions in their immediate surroundings with a focus on public space. Starting from a location in Zurich, students will develop spatial-technical frameworks for situated interactions. The student projects will connect people and societal processes.

Topic 2025: Circular Conversions in Public Space

Labör

circular conversions

formats for participation and interaction

exchanges of ideas, methods of circular conversion and upcycling, tools and spaces for encounters and interchanges

commons

stakeholders, participants in public space

Technology (which?

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), AI, human and non-human participants (important here?)

As artificial intelligence begins to infiltrate various aspects of public life, from surveillance systems to algorithmic decision-making, it brings opportunities and challenges for democratic societies. Amongst privacy, surveillance, bias, and authorship concerns, it becomes easy to imagine an expanse of dystopian futures. AI features prominently in speculation of Existential Risk (Bostrum, 2002), and the numerous dystopian depictions of societal collapse driven by AI in science fiction provides plenty of material for anxiety. Many of these speculative horror scenarios are entering the everyday parlance of technology: the Alignment Problem (Gabriel, 2020), AI arms race (Moore, 2016), Superintelligence (Bostrom, 1998) and The Singularity (Chalmers. 2016). Such concerns will always outnumber the list of positives: there are inherently more ways for any system to go wrong than to go right. But how do we increase the chance of our future with AI going in the right direction for the planet and for humanity instead of the infinite ways to go wrong? Many of the utopian scenarios being provided to us, however, come from people and organisations that stand the most to profit from the rapid and uncontrolled uptake of AI technology. For this reason, we must have an alternative source of visions beyond the solutionism (Morozov, 2013) of Silicon Valley.

Unfortunately, we are already experiencing some of the dangerous eventualities of AI: the shift of political discourse to social media has left our internal and interpersonal realm vulnerable to AI-based political manipulation through deep fakes and out-of-control algorithms driving radicalization (Ledwich et al., 2019). Yet, AI is now inseparable from all possible future trajectories: finding a non-zero-sum relationship with AI is a societal and ecological imperative. But the current spring of AI development has certainly sparked our imagination: projects like Polis leverage AI to find out what large numbers of people think about issues in their own words to better shape public policy. Augmented Democracy tries to use AI for radical new forms of direct democracy through a virtual twin.

But what about the historically central sphere of political and democratic discourse: the public space? Could this be our great chance to re-design a relationship with AI that is symbiotic and aligned with the needs of humans and non-human ecologies? Can AI support new forms of civic engagement? Can it help to give us better access to knowledge embedded in our environment? Can it help us to understand the manifold perspectives and life situations that clash and try to find compromises in a city?

In this module, we will build experimental futures for democracy in a spatial context. The course will work in collaboration with researchers from the SNF project “Stories of the Future”, a scientific communication project which aims to sensitize young people in Switzerland to the political and ethical nature of AI.

Deliverables and Documentation

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Upload your documentation files to: smb://fileredu.ad.zhdk.ch/DDE/BDE_VIAD/01_ABGABEN/25_FS/Sem4_Spatial_Interaction

Main Project Brief

Ultimately, the outcomes of the module will envision ways of living with AI that empower rather than diminish the agency of individuals and communities. We approach the topic with prototypes and design interventions that leverage our technical skills and designerly perspective, while avoiding the tendencies of technological solutionism. The actual format of the end results will be developed through in-class discussions and steering meetings.

Objectives:

  1. Reflect on AI's Impact: Investigate the current and potential implications of AI on democratic and political processes, considering issues such as privacy, bias, polarisation and social and behavioural manipulation.

  2. Explore Spatial Dynamics: Explore how physical public spaces are being reshaped by AI and how the future might be reimagined using AI to foster inclusivity, civic engagement, greater awareness or critical thinking on the topic.

  3. Prototype Experimental Futures: Create tangible prototypes and/or interventions that embody new ways of ‍‍‍living with AI in public spaces and in democratic processes. Record your results extensively with photos, video and audio.

 

Schedule

(Vinzenz Urlaub: 7.-13.April)

Week 1

Monday, 21.04.

Tuesday, 22.04.

Wednesday, 23.04.

Thursday, 24.05.

morning

9:00 Kick-off & Introduction

ZT 4.K15 Seminarraum

afternoonZT 4.K15 Seminarraum

→ Labör

Week 2

Monday, 28.04.

Tuesday, 29.04. 

Wednesday, 30.04.

Thursday, 01.05.

morning

09:00 Task 1 Introduction (4.T06 Seminarraum)

Task 1 execution

11:00 Task1 presentation and Task 2 Introduction

afternoon

Task 2 Initial Investigation

16:00 Task 2 discussion (4.T06 Seminarraum)

Week 3 

Monday, 05.05.

Tuesday, 06.05.

Wednesday, 07.05.

Thursday, 08.05. 

morning

10:30 Task 2 presentation & discussion (Zoom presentations incl. AI chatbots)

Concept Development

10:30 - 12:00 Concept Mentoring (Via Zoom)

Concept + Prototype Development

afternoon

Concept Development

14:45 - 17:00 Concept Mentoring (Via Zoom)

Concept + Prototype Development

16:00 Check-In (Via Zoom)

Week 4

Monday, 12.05.

Tuesday, 13.05.

Wednesday, 14.05.

Thursday, 15.05.

morning

(09-12:00 Painting for BA Finals)

Concept + Prototype Development

(09-12:00 Painting for BA Finals)

Group work/Production

Group work/Production

afternoon

14:00 Prototype Presentation & Steering Meeting (ZT 5.F01 Seminarraum)

13:00 Mentoring (Atelier)

Group work/Production

Group work/Production

Week 5

Monday, 19.05.

Tuesday, 20.05.

Wednesday, 21.05.

Thursday, 22.05.

morning

Group work/ Production

Group work/ Production

Group work/ Production

documentation/ reflection

afternoon

13:00 Technical Support LF (Atelier)

12:30 Mentoring (Atelier)

Final Pressentation Presentation 15:00 - 17:30

documentation/ reflection

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