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 UvAās 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. M. R., & Hansen, A. S. (2025). The Politics of Machine learning Evaluation: From Lab to Industry. In AoIR2024 : Research from the Annual Conference of the Association of Internet Researchers (Vol. 2024). (AoIR Selected Papers of Internet Research). Association of Internet Researchers. https://doi.org/10.5210/spir.v2024i0.13991
2024
Galanty, M., Luitse, D., Noteboom, S. H., Croon, P., Vlaar, A. P., Poell, T., SĆ”nchez GutiĆ©rrez, C. I., Blanke, T., & IÅ”gum, 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]- 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]
- Luitse, D., Blanke, T., & Poell, T. (2024). AI competitions as infrastructures of power in medical imaging. Information, Communication & Society. Advance online publication. https://doi.org/10.1080/1369118X.2024.2334393
- van der Vlist, F. N., 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
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. HeÅmanovĆ”, 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]
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]. 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 ā zeker niet in het ziekenhuis [Web] De Correspondent. AI is nog lang geen wondermiddel ā 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) (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
Galanty, M., Luitse, D., Noteboom, S. H., Croon, P., Vlaar, A. P., Poell, T., SĆ”nchez GutiĆ©rrez, C. I., Blanke, T., & IÅ”gum, 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.