D.M.R. (Dieuwertje) Luitse
Faculty of Humanities
Capaciteitsgroep Media & Cultuur
Visiting address
- Turfdraagsterpad 1
Postal address
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Postbus 94550
1090 GN Amsterdam
Contact details
Social media
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Profile
Dieuwertje Luitse is PhD Candidate at the Amsterdam School for Cultural Analysis and part of the Department of Media Studies at the University of Amsterdam (UvA) . Her research explores the ethics, politics and power of data, artificial intelligence (AI) systems and application development in healthcare. This project is part of the UvAâs interdisciplinary research priority area on AI for Health decision-making that brings together researchers from Computer Science, Medicine, Law and the Humanities. In addition, her research interest focuses on the study of computational infrastructures and the (historical) development of AI systems in relation to their socio-economic and political implications.
In line with her research activities, Dieuwertje is the co-organiser of the Critical AI Seminar Series hosted by the Critical Data and AI research group at UvA's Faculty of Humanities and one of the co-editors of the topical collection on the Politics of Machine Learning Evaluation in Digital Society.
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Publications
2025
Luitse, D., Blanke, T., & Poell, T. (2025). AI competitions as infrastructures of power in medical imaging. Information, Communication & Society, 28(10), 1735-1756. https://doi.org/10.1080/1369118X.2024.2334393 [details]
2024
- Galanty, M., Luitse, D., Noteboom, S. H., Croon, P., Vlaar, A. P., Poell, T., Sånchez Gutiérrez, C. I., Blanke, T., & Iƥgum, I. (2024). Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool. Scientific Reports, 14, Article 31846. https://doi.org/10.1038/s41598-024-83218-5 [details]
- Hansen, A. S., & Luitse, D. (2024). The Politics of Machine learning Evaluation: From Lab to Industry. In AoIR2024: Research from the Annual Conference of the Association of Internet Researchers (Selected Papers of Internet Research; Vol. 2024). Association of Internet Researchers. https://doi.org/10.5210/spir.v2024i0.13991 [details]
- Luitse, D. (2024). Platform power in AI: The evolution of cloud infrastructures in the political economy of artificial intelligence. Internet Policy Review, 13(2). https://doi.org/10.14763/2024.2.1768 [details]
- van der Vlist, F., Helmond, A., Luitse, D. M. R., Rieder, B., Hind, S., & Kanderske, M. (2024). The Political Economy of AI as Platform: Infrastructures, Power, and the AI Industry. In AoIR2024: Research from the Annual Conference of the Association of Internet Researchers (Selected Papers in Internet Research; Vol. 2024). Association of Internet Researchers. https://doi.org/10.5210/spir.v2024i0.14088 [details]
2023
- Jurg, D., Luitse, D., Pouwels, S., Tuters, M., & Kisjes, I. (2023). Post-Authentic Engagement with Alternative Political Commentary on YouTube and Twitch. In M. HeĆmanovĂĄ, M. Skey, & T. Thurnell-Read (Eds.), Cultures of Authenticity (pp. 301-318). Emerald Publishing Limited. Advance online publication. https://doi.org/10.1108/978-1-80117-936-220221023 [details]
2021
- Luitse, D., & Denkena, W. (2021). The great Transformer: Examining the role of large language models in the political economy of AI. Big Data & Society, 8(2). https://doi.org/10.1177/20539517211047734 [details]
2022
- Luitse, D., Blanke, T., & Poell, T. (2022). AI Competitions as Infrastructures: Examining Power Relations on Kaggle and Grand Challenge in AI-driven Medical Imaging. In AoIR2022: Research from the Annual Conference of the Association of Internet Researchers (Selected Papers in Internet Research; Vol. 2022). Association of Internet Researchers. https://doi.org/10.5210/spir.v2022i0.13044 [details]
2025
- Luitse, D. M. R. (2025). From CCN-based Learning to Sequence Modelling: On the Shifting Epistemic Operations of Neural Networks. Abstract from SHOT 2025 Annual Meeting, Esch-sur Alzette, Luxembourg.
2024
- Luitse, D. M. R. (2024). Data bodies: Exploring the technopolitical production of otherness through dataset construction and annotation protocols for medical AI development . Abstract from EASST/4S Conference, Amsterdam, Amsterdam, Netherlands.
Media appearance
- Luitse, D. (07-11-2024). AI in de zorg [Television] NTR Wetenschap. AI in de zorg. https://npo.nl/start/serie/focus/seizoen-7_1/focus_45
- Luitse, D. (03-01-2024). Alsjeblieft: een lees-, luister- en kijklijst voor wie AI wil begrijpen [Web] De Correspondent. Alsjeblieft: een lees-, luister- en kijklijst voor wie AI wil begrijpen. https://decorrespondent.nl/15027/alsjeblieft-een-lees-luister-en-kijklijst-voor-wie-ai-wil-begrijpen/7e334c48-5943-023f-1194-7c4f991005f8
- Luitse, D. (06-11-2023). AI is nog lang geen wondermiddel â zeker niet in het ziekenhuis [Web] De Correspondent. AI is nog lang geen wondermiddel â zeker niet in het ziekenhuis. https://decorrespondent.nl/14923/ai-is-nog-lang-geen-wondermiddel-zeker-niet-in-het-ziekenhuis/1954dda8-9308-09da-062a-a3b31e433d37
Talk / presentation
- Luitse, D. (speaker) & van der Vlist, F. (speaker) (6-6-2025). Critical AI technography: Researching the material political economy and power of AI platforms, Research Infrastructure for the Study of Archived Web Materials Conference (RESAW â25), Siegen.
- Luitse, D. (invited speaker) (3-6-2025). The Politics of Machine Learning Evaluation: From Present to Future, The médialab seminar , Paris.
- Luitse, D. (invited speaker) (20-5-2025). The Impact of AI in Clinical Practice , Anna Reynvaan Expertmeeting, Amsterdam.
- Luitse, D. (invited speaker) (15-5-2025). BEAMRAD: Mitigating dataset bias in medical AI through transparent documentation, The Human Aspects of AI Model Development, Nijmegen.
- Luitse, D. (invited speaker) (11-4-2025). Computational infrastructures and alternatives, AlgoSoc/
International Scientific
Conference 2025, Amsterdam. - Luitse, D. (invited speaker) (5-6-2024). Critical Data & AI Lecture Series #7. AI competitions as Infrastructures of Power, University of Copenhagen.
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Ancillary activities
No ancillary activities
Luitse, D., Blanke, T., & Poell, T. (2025). AI competitions as infrastructures of power in medical imaging. Information, Communication & Society, 28(10), 1735-1756.