E. Aizenberg (Evgeni)

Having worked at the intersection of different disciplines, I grew to appreciate that societal challenges often involve interactions of people, technology, policy, and the surrounding social and physical environment. Addressing these challenges takes a collective effort of diverse stakeholders and disciplines. One of the obstacles in such transdisciplinary work are epistemological differences: assumptions about how knowledge is to be produced.
My aim is to develop methods of reflection on these assumptions to support transdisciplinary design practices.

My professional journey spans a number of disciplines, from signal processing, machine learning, and biomedical imaging to ethics of technology and design. Prior to joining the University of Twente, I was a post-doc researcher at Delft University of Technology, where I worked on the project Designing for Human Rights in AI at the AiTech multi-faculty program.

I am also the author of the Data Crow Watch blog, in which I engage with the public about socio-ethical impacts of artificial intelligence.

Faculty of Engineering Technology (ET), Human Centered Design (HCD)

Toso, F. , Zaga, C. , den Haan, R-J. , & Aizenberg, E. (2023). Do Not Believe the Hype: Role and Pedagogical Implications of Generative AI in Human-Centred and Transdisciplinary Design Education. Manuscript submitted for publication. In Futures of design education

Aizenberg, E., Dennis, M. J., & Hoven, J. V. D. (2023). Examining the assumptions of AI hiring assessments and their impact on job seekers’ autonomy over self-representation. AI & society. Advance online publication. https://doi.org/10.1007/s00146-023-01783-1

Siebert, L. C., Lupetti, M. L. , Aizenberg, E. , Beckers, N., Zgonnikov, A., Veluwenkamp, H., Abbink, D., Giaccardi, E., Houben, G-J., Jonker, C. M., Hoven, J. V. D., Forster, D., & Lagendijk, R. L. (2022). Meaningful human control: actionable properties for AI system development. AI and Ethics, 3, 241-255. https://doi.org/10.1007/s43681-022-00167-3

Dennis, M. , & Aizenberg, E. (2022). The Ethics of AI in Human Resources. Ethics and information technology, 24, Article 25. https://doi.org/10.1007/s10676-022-09653-y

Aizenberg, E., & Hoven, J. V. D. (2020). Designing for human rights in AI. Big Data & Society, 7(2). https://doi.org/10.1177/2053951720949566

Aizenberg, E., ten Brinck, R., Reijnierse, M., van der Helm-van Mil, A., & Stoel, B. C. (2019). Identifying MRI-detected inflammatory features specific for rheumatoid arthritis: two-fold feature reduction maintains predictive accuracy in clinically suspect arthralgia patients. Seminars in arthritis and rheumatism, 48(4), 579-586. https://doi.org/10.1016/j.semarthrit.2018.04.005

Aizenberg, E., Shamonin, D., Reijnierse, M., van der Helm-van Mil, A., & Stoel, B. C. (2019). Automatic quantification of tenosynovitis on MRI of the wrist in patients with early arthritis: a feasibility study. European radiology, 29, 4477-4484. https://doi.org/10.1007/s00330-018-5807-2

Aizenberg, E., Roex, E., Nieuwenhuis, W., Mangnus, L., van der Helm-van Mil, A., Reijnierse, M., Bloem, J. L., Lelieveldt, B., & Stoel, B. C. (2018). Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study: Feasibility of Automatic Quantification of BME on MRI of the Wrist. Magnetic resonance in medicine, 79(2), 1127-1134. https://doi.org/10.1002/mrm.26712

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+31534893334

e.aizenberg@utwente.nl