Chiara Ullstein

Chiara Ullstein is a PhD Student at the Chair of Cyber Trust.

With a background in Politics and Technology, Chiara's research explores public participation in the development and regulation of AI applications. Chiara applies both qualitative and quantitative research methods.

In August and September 2022, Chiara was visiting Prof. Hirotaka Osawa's  Hai Lab at KEIO University, Tokyo, for a Design Futuring project on the Metaverse. Between February and July 2020, Chiara was a visiting researcher at the Kyoto Design Lab at the Kyoto Insititute of Technology, Japan, doing research on design methods for promoting deliberative citizen dialogues under the supervision of Prof. Daijiro Mizuno. More information on the project Speculative Design Research for Democracy Enhancement can be found here.

Between July and August 2019, Chiara was a visiting researcher at the Carleton University in Ottawa, Canada. She obtained a scholarship by the Jean Monnet Network on EU-Canada Relations.

 

Research interests:

Citizen Participation, Participatory AI Ethics, AI Regulation, Ethics of Machine Learning, Design Futuring

E-mail: chiara.ullstein@tum.de

(Please note that I am currently not accepting requests for final thesis supervision.)

Publications

Journal & Magazine Articles

  • Hohendanner, M., Ullstein, C., Socher, G., & Grossklags, J. (in press) “Good and Scary at the Same Time” – Exploring Citizens’ Perceptions of a Prospective Metaverse. IEEE Pervasive Computing, Special Issue: The Pervasive Multiverse. Publisher Version (Open Access)

Conference Proceedings

  • Ullstein, C., Engelmann, S., Papakyriakopoulos, O., Ikkatai, Y., Arnez Jordan, N., Caleno, R., Mboya, B.,  Higuma, S., Hartwig, T., Yokoyama, H., & Grossklags, J. (2024) Attitudes Toward Facial Analysis AI: A Cross-National Study Comparing Argentina, Kenya, Japan, and the USA. Proceedings of the 7th ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), forthcoming. Author Version (725 submissions)
  • Hohendanner, M., Ullstein, C., Buchmeier, Y., & Grossklags, J. (2023) Exploring the Reflective Space of AI Narratives Through Speculative Design in Japan and Germany. Proceedings of the Third ACM International Conference on Information Technology for Social Good (GoodIT), pp. 351-362. Publisher Version (Open Access)
  • Ullstein, C., Engelmann, S., Papakyriakopoulos, O., Hohendanner, M., & Grossklags, J. (2022) AI-competent Individuals and Laypeople Tend to Oppose Facial Analysis AI. Proceedings of the Second ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), Article No. 9. Author Version Publisher Version (Open Access)
  • Engelmann, S., Ullstein, C., Papakyriakopoulos, O., & Grossklags, J. (2022) What People Think AI Should Infer from Faces. Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), pp. 128–141. Author Version Appendix Publisher Version (Open Access)
  • Hohendanner, M., Ullstein, C. & Mizuno, D. (2021). Designing the Exploration of Common Good within Digital Environments: A Deliberative Speculative Design Framework and the Analysis of Resulting Narratives. Proceedings of the Swiss Design Network Conference on Design as Common Good: Framing Design Through Pluralism and Social Values. ISBN: 978-88-7595-108-5. Publisher Version (Open Access) Complete Proceedings

Book Chapters

  • Hohendanner, M. & Ullstein, C. (2024). Speculative Design for Policy? – Zur politischen Anschlussfähigkeit von Speculative Design & Design Fiction Ansätzen. In: Ebert, I., Rahn, S. &  Rodatz, C.(Edt.). Wie gestalten wir Gesellschaft? – Interdependenzen zwischen Design und dem Feld des Sozialen. Transcript publishing, Bielefeld. Publisher Version (Open Access)

Workshop Paper

  • Ullstein, C., Engelmann, S., Papakyriakopoulos, O., & Grossklags, J. (2023) A Reflection on How Cross-Cultural Perspectives on the Ethics of Facial Analysis AI Can Inform EU Policymaking. Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF). Publisher Version (Open Access)
  • Ullstein, C., & Hohendanner, M. (2020, September 7–11). Exploration of the Future of Co-Creative Systems Through Collaborative Speculative Design Practices. International Computational Creativity Conference 2020 (ICCC’20): The Future of Co-Creative Systems – A Workshop on Human-Computer Co-Creativity, Coimbra, Portugal. Publisher Version (Open Access)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Conference Talks

2023

  • Talk on How Cross-Cultural Perspectives on the Ethics of Facial Analysis AI Can Inform EU Policymaking at the European Workshop on Algorithmic Fairness (EWAF), Winterthur, Switzerland | Workshop Scedule | with Severin Engelmann
  • Talk on How People Ethically Evaluate Facial Analysis AI: A Cross-Cultural Study in Japan, Argentina, Kenya, and the United States at the Many Worlds of AI Conference, Cambridge, United Kingdom | Conference Program | with Severin Engelmann
  • Talk on Imagining AI and a Prospective Metaverse: A Participatory Speculative Design Case Study from Japan and Reflections from Germany at the Many Worlds of AI Conference, Cambridge, United Kingdom | Conference Program | with Michel Hohendanner

2022

  • Talk on Cross-cultural perspectives on technology-driven future societies through the lens of collaborative speculative design. at the Conference on Artificial Intelligence and the Human – Cross-Cultural Perspectives on Science and Fiction, Alexander von Humboldt Institute for Internet and Society (HIIG), Japanese-German Center Berlin (JDZB) and Waseda University Tokyo | Conference Program | with Michel Hohendanner and Yosuke Buchmeier

Project Documentations and Reports

Design Discourse: Speculative Design Research for Public Participation

Teaching

Seminars

  • The EU’s AI Act Proposal: From framework to practical application (each semester: SS 2022 - SS 2024)
  • Participatory AI and the EU AI Act (SS 2024)
  • Making People Understand Facial Recognition Technologies: Building an AI Application as Didactic Tool (WS 2022/2023)

Lecture Assistance

  • IT & Society (each year: SS 2022 - SS 2024)