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Ethics in IT

Universität HamburgEthics in IT

Photo: UHH/Denstorf

Ethics in IT

Eloïse Soulier

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Research Associate

Address

University of Hamburg
Bundesstraße 56 B
20146 Hamburg

Office

Room: 04-651

Contact


Short CV

Eloïse is a PhD candidate and research associate in the Ethics in Information Technology (EIT) research group at the Department of Informatics of the University of Hamburg. She is a member of the STEAM project team, which seeks to normatively assess the use of algorithmic systems in societal communication, based on an architectural approach to digital media ecosystems.

Her dissertation work focuses on a reframing of the concept of autonomy in the context of digital technologies, relying on feminist moral philosophy. More broadly, drawing from feminist epistemology and philosophy of language, she researches the ways in which our conceptual choices shape the – digital – realities we live in, and whether and how we can act on it.

Eloïse has a background in Computer science and Mathematics (M.Sc. Ecole des Ponts Paristech, France) and in Philosophy (B.A. Université Paris Nanterre, France). Before joining the EIT team, she worked at the Science and Technology Department of the French Embassy in Berlin and as a high school teacher in France.

Publications

  • Soulier, E. Should we speak of machine agency? A case against conceptual extension. Ethics Inf Technol 28, 17 (2026). https://doi.org/10.1007/s10676-026-09893-2

  • Stratmann, M. M. T., Mast, T., Spürkel, J., Burmeister, F., Kutz, C., & Soulier, É. Visualizing Regulatory Ecosystems: A Novel Approach to Mapping Governance Architectures in EU Regulation-the Case of the Ai Act. Computer Law and Security Review (2026)

  • Branford, J., Soulier, E. & Fichtner, L. Generative AI and Democratic Culture. Philos. Technol. 38, 123 (2025). https://doi.org/10.1007/s13347-025-00953-x

  • Crawford, A., Fichtner, L., Guntrum, L. G., Jänsch, S., Krösche, N., Soulier, E., & Süß, C. A. (2024). Ethical research in the German social sciences: Exploring the significance and challenges of institutionalized research ethics practices. Research Ethics, 21(3), 448-479. https://doi.org/10.1177/17470161241270787

  • Angelie Kraft and Eloïse Soulier. 2024. Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). https://doi.org/10.1145/3630106.3658981