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]
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]
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]
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]
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.
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) (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) (5-6-2024). Critical Data & AI Lecture Series #7. AI competitions as Infrastructures of Power, University of Copenhagen.
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