WeNet – The Internet of Us

WeNet - The Internet of Us

The EU-funded project "WeNet - the Internet of Us" aims to improve computer-mediated social interaction. Online communication should become diversity-aware and human-technology interaction should be optimized. For this purpose, it is necessary to develop the culture, science, technology, methods, algorithms, and social interaction protocols as well as an online platform that enable this diversity-aware, computer-mediated communication. 

A consortium of 15 institutions will carry out the development of the online platform WeNet, the integration and consolidation of the individual software parts, and the research of new methods and tools in this context. The technology will be tested and improved during large-scale pilot trials at 18 different locations of universities and adult schools with 10,000 participants. A worldwide consortium with partners from Europe, Mexico, Paraguay, China, India, and Mongolia will work together and promote global exchange in the research and development of ethical and diversity-aware artificial intelligence and algorithms. Ethical aspects of diversity, human-technology interaction, and social international/communication are continuously taken into consideration. In particular, the IZEW is responsible for the development of an ethical framework of diversity, which informs the development of diversity-aware algorithms for social interaction. In addition, the project staff at the IZEW deals with ethical questions of privacy and data protection. 

Schelenz, Laura (forthcoming): Diversity and Social Justice in Technology Design: Reflections on Diversity-aware Technology. In: International Journal of Critical Diversity Studies.

Helm, Paula; Loizos, Michael, Schelenz, Laura (2022): Diversity by Design? Balancing the Inclusion and Protection of Users in an Online Social Platform. In: AIES '22: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, https://doi.org/10.1145/3514094.3534149

Schelenz, Laura (2022): Diversity Concepts in Computer Science and Technology Development: A Critique. In Science, Technology, & Human Values, https://doi.org/10.1177/01622439221122549

Schelenz, Laura (2022): Artificial Intelligence Between Oppression and Resistance: Black Feminist Perspectives on Emerging Technologies. In Ariane Hanemaayer (Ed.): Artificial Intelligence and Its Discontents. Cham: Springer International Publishing (Social and Cultural Studies of Robots and AI), pp. 225–249.

Schelenz, Laura (2021): Schwarzfeministische Perspektiven auf Künstliche Intelligenz: Erkenntnisse und neue Fragen zu KI-gestützter Gesichtserkennung und Überwachung. In Femina Politica – Zeitschrift für feministische Politikwissenschaft 30 (2-2021), pp. 73–93, https://doi.org/10.3224/feminapolitica.v30i2.07

Schelenz, Laura; Bison, Ivano; Busso, Matteo; de Götzen, Amalia; Gatica-Perez, Daniel; Giunchiglia, Fausto; Meegahapola, Lakmal; Ruiz-Correa, Salvador (2021): The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. In: AIES '21: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. https://doi.org/10.1145/3461702.3462595

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

Heesen, Jessica; Reinhardt, Karoline; Schelenz, Laura (2021): Diskriminierung durch Algorithmen vermeiden: Analysen und Instrumente für eine demokratische digitale Gesellschaft. In Gero Bauer, Maria Kechaja, Sebastian Engelmann, Lean Haug (Eds.): Diskriminierung und Antidiskriminierung. Beiträge aus Wissenschaft und Praxis. 1. Auflage. Bielefeld: transcript; Transcript Verlag (Gesellschaft der Unterschiede, 60).

Schelenz, Laura; Segal, Avi; Gal, Kobi (2020): Best Practices for Transparency in Machine Generated Personalization. In Tsvi Kuflik, Ilaria Torre, Robin Burke, Cristina Gena (Eds.): Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization. UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization. Genoa Italy, 14 July 2020 - 17 July 2020. New York, NY, USA: ACM, pp. 23–28. https://doi.org/10.1145/3386392.3397593

Reinhardt, Karoline /Jessica Heesen/Andreas Baur/Amalia de Götzen/Christos Rodosthenous/Maria Chiara Campodonico/Daniele Miorandi (2020): A revised guideline concerning privacy-standards for WeNet (Deliverable 9.3). URL: https://www.internetofus.eu/download/d9-3-a-revised-guideline-concerning-privacy-standards-for-wenet/?wpdmdl=1647&masterkey=600548f4e3b6b

Reinhardt, Karoline (2020): Between Identity and Ambiguity. Some Conceptual Considerations on Diversity. In: Symposion. Theoretical and Applied Inquiries in Philosophy and Social Sciences 7 (2), S. 261-283. URL: https://symposion.acadiasi.ro/between-identity-and-ambiguity-some-conceptual-considerations-on-diversity-pages-261-283/

Reinhardt, Karoline (2020): Digitaler Humanismus. Jenseits von Utopie und Dystopie, in: Berliner Debatte Initial, Themenschwerpunkt Digitale Dystopie, S.111-123.

Reinhardt, Karoline; Laura Schelenz (2019): A preliminary guideline for privacy in WeNet (Deliverable 9.2) https://www.internetofus.eu/wp-content/uploads/sites/38/2020/01/WeNet_D9.2_v1.0_final_J.pdf

Schelenz, Laura; Karoline Reinhardt (2019): Developing an ethical and conceptual framework for diversity (Deliverable 9.1) https://www.internetofus.eu/resources/deliverables/ letzter Zugriff: 24.01.2020