Gallery
Experiment overview
A card game exclusively designed for workshops at the Institut auf dem Rosenberg boarding school.
The methodology aimed to develop students’ critical understanding of artificial intelligence systems, focusing on data governance principles and the socio-environmental implications of training algorithms.
Thanks to Jakub De Barbaro for the graphic design.
Main objectives
The card game structure served as a hands-on learning tool with three interconnected categories:
AI Data Collection Cards - revealing hidden AI interactions during common online activities, helping students discover how their digital footprint feeds modern AI systems.
Technology Application Cards - showcasing different AI implementations including predictive machine vision, digital assistants, image recognition, and real-time language translation.
AI Impact Character Cards - a set of AI-generated personas representing various stakeholders in AI development, from tech leaders to end users.
Achieved results
Qualitative observation of workshop participants revealed an asymmetry between students’ passive acceptance of data collection practices and their limited understanding of AI system architectures beyond consumer-facing applications.
The experience successfully expanded their mental models of AI systems to include physical infrastructure constraints and resource dependencies, demonstrated through guided group discussions about computational requirements and environmental implications.
Main reflection
The research setting at Institut auf dem Rosenberg revealed how privilege might limit understanding of AI’s real-world implications, despite access to premium educational resources.
This observation identified a critical gap in AI development discourse, where perspectives of communities most affected by automation and environmental degradation - particularly women and underrepresented groups - remain systematically excluded from the decision-making processes shaping these technologies.