Research Focus Media Ethics, Philosophy of Technology & AI
The research focus Media Ethics, Philosophy of Technology & AI undertakes interdisciplinary research into ethical and philosophical issues raised by information technologies as media and tools of a digital society. The focus is currently on philosophical concepts and questions of ethics in the digital society in relation to data, privacy, children's rights in the digital world, artificial intelligence, digital afterlife, metaverses and media ethics issues in (online) journalism and social media.
A list of completed projects can be found in the archive section.
Selected Publications and Project Outcomes
Baur, Andreas (2024), „European Dreams of the Cloud: Imagining Innovation and Political Control”, in: Geopolitics 29(3), 796–820. doi:10.1080/14650045.2022.2151902
Heesen, Jessica et al.: Künstliche Intelligenz im Journalismus. Potenziale und Herausforderungen für Medienschaffende. Whitepaper aus der Plattform Lernende Systeme, München 2023, https://doi.org/10.48669/pls_2023-1
Baur, Andreas (2022), „Grenzenlosigkeit in Grenzen. Zur Politik globaler Cloudinfrastrukturen“, in: Politikum 8 (2), 44 - 49. doi:10.46499/2032.2377.
Heesen, Jessica (2021), Responsible freedom - regulation of online media as democratic challenge. In: Lada Trifonova Price/Karen Sanders/Wendy N. Wyatt (ed.): Routledge Companion to Journalism Ethics, London/New York: Routledge 2021, 433 - 440.
Theilen, Jens T./Andreas Baur/Felix Bieker/Regina Ammicht Quinn/Marit Hansen/Gloria González Fuster (2021), „Feminist data protection: an introduction“, in: Feminist data protection (special issue), Internet Policy Review 10(4). doi: 10.14763/2021.4.1609
Schelenz, Laura (2021): Diversity-aware Recommendations for Social Justice? Exploring User Diversity and Fairness in Recommender Systems. In Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalčič (Eds.): Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization. Utrecht Netherlands, 21 06 2021 25 06 2021. New York, NY, USA: ACM, pp. 404 - 410. https://doi.org/10.1145/3450614.3463293