Judith Faßbender
Judith Faßbender is an associated researcher in the Societal Values, Transformation and AI research focus. Within the framework of the research project Public Interest AI, funded by the Ministry of Education and Research, she is looking at Public Interest Artificial Intelligence (AI) from a process oriented perspective. She is doing her PhD at the University of St Andrews in the School of Computer Science on Design Patterns for participatory Data Governance.
After her bachelor’s degree in design at Burg Giebichenstein Kunsthochschule Halle and Design Academy Eindhoven, she received her master’s degree at Zeppelin University Friedrichshafen where she majored in cultural and communication sciences with a minor in economics.
Judith is currently a visiting lecturer at KISD for AI and Design. Previously she worked in the cultural sector and at research institutions, as an intern at Die Neue Sammlung at Pinakothek der Moderne in Munich and as a design and research assistant at Studio Knol in Amsterdam. She wrote her master thesis in collaboration with the Fraunhofer Center for Responsible Research and Innovation in Berlin where she critically examined the integration of civil society actors in deliberative forums on AI Ethics.
AI · Society & culturePublic Interest AI
The “Public Interest AI” research group is developing an operationalisable analysis procedure that will allow Public Interest to be defined in an AI-specific way...
Journal articles and conference proceedings
Fassbender, J., & Henderson, T. (2024). Participatory to what end? Mapping motivations for participatory approaches in data-driven projects. GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social Good, 301–305. DOI: 10.1145/3677525.3678675 Publication details
Züger, T., Kuper, F., Fassbender, J., Katzy-Reinshagen, A., Kühnlein, I. (2023). Handling the hype: Implications of AI hype for public interest tech projects. TATuP – Journal for Technology Assessment in Theory and Practice, 32(3), 34-40. DOI: https://doi.org/10.14512/tatup.32.3.34 Publication details
Fassbender, J. (2021). Particles of a whole: design patterns for transparent and auditable AI-systems. Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings, 272-275. DOI: 10.1145/3460418.3479345 Publication details
Working paper
Züger, T., Faßbender, J., Kuper, F., Nenno, S., Katzy-Reinshagen, A., & Kühnlein, I. (2022). Civic Coding: Grundlagen und empirische Einblicke zur Unterstützung gemeinwohlorientierter KI. Civic Coding Initiative. Publication details
Other publications
Fassbender, J. (2022). Why explainable AI needs such a thing as Society. Digital society blog. Publication details
Asghari, H., Birner, N., Burchardt, A., Dicks, D., Fassbender, J., Feldhus, N., Hewett, F., Hofmann, V., Kettemann, M. C., Schulz, W., Simon, J., Stolberg-Larsen, J., & Züger, T. (2022). What to explain when explaining is difficult. An interdisciplinary primer on XAI and meaningful information in automated decision-making. HIIG Impact Publication Series. Publication details
Züger, T., Katzy-Reinshagen, A., Fassbender, J., Kuper, F., & Kühnlein, I. (2022). Civic Coding. Empirische Erkenntnisse und Empfehlungen zur Unterstützung gemeinwohlorientierter KI. HIIG Impact Publication Series. Publication details
Lectures and presentations (8)
Presentation at „Big Data Discourses: Communicating, Deliberating, and Imagining Datafication”
Workshop “AI Systems for the Public Interest“
Demystifying AI: Typologies to map AI-systems and datasets
Civic Coding Fachveranstaltung
Design Patterns – Prozessformate für eine verantwortungsvolle Umsetzung von KI-Systemen
PhD Workshop on Artificial Intelligence and Machine Learning research and Democracy
Particles of a whole: design patterns for transparent and auditable AI-systems
KICamp21 Webinar: AI in the public interest: What does this mean and how can we build it?
Panels (3)
Panel @ D³ Kongress 2024
Organising participation in data-based projects
KI & Kulturerbe
Moderation of workshops and panels (1)
Workshop “AI-systems for the public interest”
Organisation of events (9)
Girls’ Day: Die Wissenschaft in Mädchenhänden
Workshop “AI-systems for the public interest”
Workshop: Shifting AI Controversies
Data Care – Who is cleaning, sorting and maintaining data?
Girl’s Day – Die Wissenschaft in Mädchenhänden
Hackathon. Entwicklung von KI-Erklärungsmodellen
AI and the Public Interest
Lecture in the course of the study week of the ZHAW: “Der Mensch im digitalen Zeitalter”
Digitaler Salon: Cookies make you lose contol
Participation as expert (1)
Workshop: Shifting AI Controversies
Position
Associated Researcher: Societal Values, Transformation and AI
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