The Internet of Us
Social Media and the Internet have catalyzed an unprecedented potential for exposure to human diversity in terms of demographics, language, culture, knowledge, opinions, talents and the like. Access to people’s diversity gives us the possibility of exploiting skills and competences that we do not have, that we may not even know they exist, some the so-called unknown unknowns , but which, however, could be exactly what we need when looking for help in the solution to the our current problem. However, this potential has not come with new, much needed, instruments and skills to harness the complications which rise when trying to exploit the diversity of people. This paper presents our vision of the “ Internet of Us ( IoU ),” a new type of online diversity-aware social interactions capable of promoting richer and deeper social relations. We discuss the multiple facets of diversity in social settings as well as the multidisciplinary work that is required to reap the benefits of the IoU , toward a IoU -enabled diversity-aware hybrid human–AI society.
Authors
- Daniel Gática-Pérez (ORCID: https://orcid.org/0000-0001-5488-2182)
- Daniele Miorandi (ORCID: https://orcid.org/0000-0002-3089-977X)
- Luca Cernuzzi (ORCID: https://orcid.org/0000-0001-7803-1067)
- Matteo Busso (ORCID: https://orcid.org/0000-0002-3788-0203)
- Amarsanaa Ganbold (ORCID: https://orcid.org/0000-0003-4335-6608)
- Ivano Bison (ORCID: https://orcid.org/0000-0002-9645-8627)
- Laura Schelenz (ORCID: https://orcid.org/0000-0003-3320-2314)
- Avi Segal (ORCID: https://orcid.org/0000-0003-0915-5730)
- Shyam Diwakar
- Salvador Ruiz-Correa
- Loizos Michael
- Jessica Heesen
- Fausto Giunchiglia
- Carles Sierra
- Kobi Gal
- George Gaskell
- Hao Xu
- Amalia de Götzen
Institutions
- Ben-Gurion University of the Negev (IL)
- University of Trento (IT)
- Jilin University (CN)
- Universidad Católica Nuestra Señora de la Asunción (PY)
- U-Hopper (Italy) (IT)
- Artificial Intelligence Research Institute (ES)
- Institute for Scientific and Technological Research (MX)
- École Polytechnique Fédérale de Lausanne (CH)
- Open University of Cyprus (CY)
- National University of Mongolia (MN)
- Idiap Research Institute (CH)
- University of Tübingen (DE)
- Amrita Vishwa Vidyapeetham (IN)
- Aalborg University (DK)
- London School of Economics and Political Science (GB)
Publication Details
- Journal
- The European Journal on Artificial Intelligence
- Published
- 2026-01-28
- DOI
- https://doi.org/10.1177/30504554251410835
- Primary Topic
- Mobile Crowdsensing and Crowdsourcing
- Type
- article
- Field-Weighted Citation Impact
- 0.00