Publikationen von Nils Köbis

Sorokowski, P., Kowal, M., Sternberg, R. J., Aavik, T., Akello, G., Alhabahba, M. M., Alm, C., Amjad, N., Anjum, A., Asao, K., Atama, C. S., Duyar, D. A., Ayebare, R., Conroy‑Beam, D., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Carrier, A., Cetinkaya, H., Croy, I., Cueto, R. M., Czub, M., Dronova, D., Dural, S., Duyar, I., Ertugrul, B., Espinosa, A., Estevan, I., Esteves, C. S., Frackowiak, T., Garduño, J. C., González, K. U., Guemaz, F., Halamová, M., Herak, I., Horvat, M., Hromatko, I., Hui, C. M., Jaafar, J. L., Jiang, F., Kafetsios, K., Kavčič, T., Kennair, L. E. O., Kervyn, N., Ha, T. T. K., Khilji, I. A., Köbis, N., Kostic, A., Lan, H. M., Láng, A., Lennard, G. R., León, E., Lindholm, T., Linh, T. T., Lopez, G., Luot, N. V., Mailhos, A., Manesi, Z., Martinez, R., McKerchar, S. L., Meskó, N., Pejičić, M., Misra, G., Monaghan, C., Mora, E. C., & Moya‑Garófano, A. (2023). Modernization, collectivism, and gender equality predict love experiences in 45 countries. Scientific Reports, 13, Article 773. https://doi.org/10.1038/s41598-022-26663-4

Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4, 418–424. https://doi.org/10.1038/s42256-022-00489-1

Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals. Nature Human Behaviour, 5(6), 679–685. https://doi.org/10.1038/s41562-021-01128-2

Irlenbusch, B., Köbis, N., & Rilke, R. M. (2025). Behavioural ethics of artificial intelligence. In S.-H. Chuah, R. Hoffmann, & A. Neelim (Eds.), Elgar encyclopedia of behavioural and experimental economics (pp. 72–75). Edward Elgar. https://doi.org/10.4337/9781802207736.00028

Bersch, C., & Köbis, N. (2024). Artificial intelligence (AI) (and anti-corruption). In L. De Sousa & S. Coroado (Eds.), Elgar encyclopedia of corruption and society (pp. 17–22). Edward Elgar.

Forjan, J., Köbis, N., & Starke, C. (2024). Artificial intelligence as a weapon to fight corruption: Civil society actors on the benefits and risks of existing bottom-up approaches. In A. Mattoni (Ed.), Digital media and grassroots anti-corruption: Contexts, platforms and data of anti-corruption technologies worldwide (pp. 229–249). Edward Elgar Publishing. https://doi.org/10.4337/9781802202106.00020

Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals (TSE Working Papers No. 1212). Toulouse School of Economics.

Ventura, A., Starke, C., Righetti, F., & Köbis, N. (2025). Relationships in the age of AI: A review on the opportunities and risks of synthetic relationships to reduce loneliness. PsyArXiv, March 11, 2025. https://doi.org/10.31234/osf.io/w7nmz_v1

Köbis, N., Rahwan, Z., Bersch, C., Ajaj, T., Bonnefon, J.-F., & Rahwan, I. (2024). Experimental evidence that delegating to intelligent machines can increase dishonest behaviour. OSF Preprints, October 04, 2024. https://doi.org/10.31219/osf.io/dnjgz

Ventura, A., & Köbis, N. (2024). Understanding opportunities and risks of synthetic relationships: Leveraging the power of longitudinal research with customised AI tools. arXiv, 2412.09086. https://doi.org/10.48550/arXiv.2412.09086