Research and Expertise
Eugenia Stamboliev is a media scholar and philosopher of technology at the University of Vienna.
She holds a postdoctoral fellowship at the University of Vienna, working on the project Interpretability and Explainability as Drivers to Democracy (funded by the Wiener Wissenschafts-, Forschungs- und Technologiefonds). The project deals with the influence of complex algorithmic structures (like Covid-19 models) and democratic concepts and examines conceptual shifts in institutional power, social trust and explainability (XAI). In collaboration with Prof. Mark Coeckelbergh, she works on climate narratives, AI and the political framing of affect and emotion technology.
Eugenia reviews for various national and international forums, like the TU Wien Academic Press and the Czech Science Foundation.
She teaches critical AI ethics and data ethics at the University of Vienna. In 2022/2023, she was a Visiting Research Fellow at Tilburg University (NL).
ethical issues around artificial intelligence and algorithmic/data structures
exploitation, labour and maintenance of platforms
(dis)trust and (un)trustworthiness of AI or ML
bias and discrimination through AI/algorithms
policy and regulation of large platforms and AI (i.e. EU Acts)
Expertise as an academic and speaker
Critical philosophy and ethics of (so-called) 'Artificial Intelligence'
Platform critique (trust and labour)
Data ethics (ethical and legal aspects)
Media ethics (material and service perspectives)