Ljubisa Bojic
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Ljubisa Bojic | |
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| Born | 1983 |
| Alma mater | University of Lyon |
| Known for |
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| Scientific career | |
| Fields | Communication science, futures studies, complex systems |
Ljubisa Bojić (born 1983) is a Serbian communication scientist and researcher. He is known for contributions to the study of artificial intelligence and its impact on society, including the proposal of a "CERN for AI"—a simulation-based framework for AI safety and alignment.[1][irrelevant citation] He holds research positions at the Institute for Philosophy and Social Theory, University of Belgrade,[2] and the Institute for Artificial Intelligence of Serbia.[citation needed] In 2025, Bojić joined the Complexity Science Hub, Vienna, as an external faculty member.[3]
Career and research
[edit]Bojić is the principal author of the "CERN for AI" concept, which was highlighted by the World Economic Forum[1] and referenced in a G7 policy brief on artificial intelligence governance in 2023.[4][dubious – discuss] He also researches the societal effects of recommender systems, the psychological and political implications of the metaverse,[5] and the evaluation of large language models.[6] Bojić served on the expert panel for the United Nations Environment Programme foresight report in 2024.[7]
Education
[edit]Bojić earned his doctorate from Lumière University Lyon 2 in 2014 (dissertation: Le processus de dépendance aux médias et ses implications sur la participation politique en Serbie).[8]
Recognition
[edit]Elements of Bojić's work, particularly the "CERN for AI" concept, have received acknowledgement[dubious – discuss] in international policy and academic circles.[1][4] He has contributed to global foresight efforts for major institutions such as the UNEP.[citation needed]
Editorial roles
[edit]Bojić is on the editorial board of Humanities & Social Sciences Communications (Springer Nature).[9] Since 2023, he has been a member of the UNEP Foresight Expert Panel.[10]
Selected publications
[edit]- Bojić, L. et al. “CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment.” European Journal of Futures Research (2024).[11]
- Bojić, L. (2024). “AI alignment: Assessing the global impact of recommender systems.” Futures, 160, 103383.[12]
Family
[edit]Bojić’s grandfather was writer and lawyer Ljubiša M. Bojić (1912–1980).[citation needed] His father was Professor Milorad Bojić, an academic and expert in renewable energy.[citation needed]
References
[edit]- ^ a b c "CERN for AI could accelerate global AI safety standards". World Economic Forum.
- ^ "Bojić Ljubiša". INSTITUTE FOR PHILOSOPHY AND SOCIAL THEORY. Retrieved 2025-06-25.
- ^ "External Faculty Page at CSH Vienna". csh.ac.at.
- ^ a b "Towards Safe, Secure and Trustworthy AI: Implementing the G7 AI Hiroshima Policy Framework" (PDF). G7.
- ^ Bojic, L. (2022). "Metaverse through the prism of power and addiction". European Journal of Futures Research. 10 (22). doi:10.1186/s40309-022-00208-4.
- ^ Bodroža, Bojana; Dinić, Bojana M.; Bojić, Ljubiša (2024-10-09). "Personality testing of large language models: limited temporal stability, but highlighted prosociality". Royal Society Open Science. 11 (10): 240180. arXiv:2306.04308. Bibcode:2024RSOS...1140180B. doi:10.1098/rsos.240180. PMC 11461045. PMID 39386990.
- ^ "UNEP Global Foresight Report 2024". UNEP. 8 July 2024.
- ^ Bojić, Ljubisa. Process of Media Addiction and its Implications to Political Participation in Serbia (Thesis) (in French). Université Lumière Lyon 2.
- ^ "Editorial Board – HSSC".
- ^ "UNEP announces new Foresight Expert Panel". International Science Council. 2 August 2023.
- ^ Bojić, Ljubiša; Cinelli, Matteo; Ćulibrk, Dubravko; Delibašić, Boris (2024-08-24). "CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment". European Journal of Futures Research. 12 (1): 15. doi:10.1186/s40309-024-00238-0. ISSN 2195-2248.
- ^ Bojic, L. (2024). "AI alignment: Assessing the global impact of recommender systems". Futures. 160: 103383. doi:10.1016/j.futures.2024.103383.