Preprints & working papers
Alfrink, K. (2025). People’s Compute: Design and the Politics of AI Infrastructures. OSF. https://doi.org/10.31219/osf.io/uaewn_v2
Alfrink, K. (forthcoming). Contestability. In D. P. Michelfelder & N. Doorn (Eds.), The Routledge Handbook of the Philosophy of Engineering (2nd ed.). Routledge, Taylor & Francis Group.
Alfrink, K., Balayn, A., de Kreek, M., Steenkamp, T., de Waal, M., & Bozzon, A. (2026). Vision Model Macroscope: Making urban computer vision system engineering choices contestable [Unpublished manuscript].
2026
Alfrink, K., Lee, S., Trotereau, L., & Jansen, F. (2026). Mud and models: Does making matter for regenerative AI speculation? In A. Krajewski & I. Smit (Eds.), The state of responsible IoT 2026. Stichting ThingsCon Amsterdam. https://doi.org/10/hcbxrj
Alfrink, K. (2026). Participatie van uitvoerende medewerkers [Participation of frontline workers]. In M. de Kreek, T. Steenkamp, & M. de Waal, Bewoners-in-the-loop: Samen beslissen over AI in de stad [Residents-in-the-loop: Deciding together about AI in the city] (pp. 86–91). Hogeschool van Amsterdam [Amsterdam University of Applied Sciences]. https://www.bewonersintheloop.nl/participatie-van-uitvoerende-medewerkers/
Schmude, T., Yurrita, M., Alfrink, K., Le Goff, T., Tschiatschek, S., & Viard, T. (2026). Two means to an end goal: Connecting explainability and contestability in the regulation of public sector AI. In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’26). ACM. https://doi.org/10.1145/3805689.3812309
De Kreek, M., Alfrink, K., Steenkamp, T., & De Waal, M. (2026). Advisory Today, Co-decisive Tomorrow? Complementing the Participation Ladder in Smart City Innovation with Institutional Learning Perspectives. Proceedings of the 19th Participatory Design Conference 2026, Vol. 1: Full Papers, 103–117. https://doi.org/10/hb655c
2025
Yurrita, M., Verma, H., Balayn, A., Alfrink, K., Gadiraju, U., & Bozzon, A. (2025). Identifying Algorithmic Decision Subjects’ Needs for Meaningful Contestability. Proc. ACM Hum.-Comput. Interact., 9(7), CSCW234:1-CSCW234:29. https://doi.org/10/g966g6
Alfrink, K. (2025). Designing Artificial Intelligence for Autonomy. In U. Pesch (Ed.), Design for Human Autonomy (pp. 18–19). Delft Design for Values Institute. https://www.delftdesignforvalues.nl
Alfrink, K. (2025). Embodied AI and collective power: Designing democratic generative things. In Generative Things: The State of Responsible Tech 2025 (pp. 75–80). Stichting ThingsCon Amsterdam. https://thingscon.org/publications/riot-2025/riot-2025-embodied-ai-and-collective-power-designing-democratic-generative-things/
2024
Balayn, A., Pi, Y., Widder, D. G., Alfrink, K., Yurrita, M., Upadhyay, S., Karusala, N., Lyons, H., Turkay, C., Tessono, C., Attard-Frost, B., & Gadiraju, U. (2024). From Stem to Stern: Contestability Along AI Value Chains. Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 720–723. https://doi.org/10/g82gc6
Alfrink, K., Keller, I., Yurrita Semperena, M., Bulygin, D., Kortuem, G., & Doorn, N. (2024). Envisioning Contestability Loops: Evaluating the Agonistic Arena as a Generative Metaphor for Public AI. She Ji: The Journal of Design, Economics, and Innovation, 10(1), 53–93. https://doi.org/10/gtzwft
2023
de Kreek, M., Alfrink, K., Waal, M. de, Kortuem, G., Turel, T., Visser, B., & Samson, L. (2023, October 9). When “doing ethics” meets public procurement of smart city technology – an Amsterdam case study. IASDR Conference Series. https://doi.org/10/g84sfs
Alfrink, K., Keller, I., Doorn, N., & Kortuem, G. (2023). Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10/gr5wcx
2022
Alfrink, K., Keller, I., Kortuem, G., & Doorn, N. (2022). Contestable AI by Design: Towards a Framework. Minds and Machines. https://doi.org/10/gqnjcs
Alfrink, K., Keller, I., Doorn, N., & Kortuem, G. (2022). Tensions in transparent urban AI: Designing a smart electric vehicle charge point. AI & SOCIETY. https://doi.org/10/gpszwh
2020
Alfrink, K., Turel, T., Keller, A. I., Doorn, N., & Kortuem, G. W. (2020). Contestable City Algorithms [Conference workshop presentation]. In Kulynych, Bogdan, Madras, D., Milli, S., Raji, I. D., Zhou, A., & Zemel, R. (2020). Participatory approaches to machine learning. https://participatoryml.github.io PDF video
Alfrink, K., Doorn, N., Keller, A. I., & Kortuem, G. W. (2020). Designing a Smart Electric Vehicle Charge Point for Algorithmic Transparency: Doing Harm by Doing Good? [Conference workshop presentation] In Luusua, A., & Ylipulli, J. (2020). Urban AI: Formulating an agenda for the interdisciplinary research of artificial intelligence in cities. Companion Publication of the 2020 ACM Designing Interactive Systems Conference, 373–376. PDF
2019
Alfrink, K., Turel, T., Kortuem, G. W. (2019). Contestable City Algorithms [Conference workshop presentation]. In Vaccaro, K., Karahalios, K., Mulligan, D. K., Kluttz, D., & Hirsch, T. (2019). Contestability in algorithmic systems. Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing, 523–527. PDF