Publikationen von Nils Köbis

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

Köbis, N., Lorenz-Spreen, P., Ajaj, T., Bonnefon, J.-F., Hertwig, R., & Rahwan, I. (2023). Artificial intelligence can facilitate selfish decisions by altering the appearance of interaction partners. arXiv, 2306.04484 . https://doi.org/10.48550/arXiv.2306.04484

Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2023). Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action. SocArXiv, January 13, 2023. https://doi.org/10.31235/osf.io/wf45t

Köbis, N., Dorrough, A., Irlenbusch, B., Shalvi, S., & Gloeckner, A. (2022). Bribery across nations. Research Square, May 25, 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1

Lange, J., Köbis, N., & Herrmann, C. (2022). A systematic literature review and integrative framework on the link between emotions and corruption. OSF Preprints, June 15, 2022. https://doi.org/10.31219/osf.io/8uzkf

von Schenk, A., Klockmann, V., & Köbis, N. (2022). Social preferences towards machines and humans. SSRN eLibrary, June 24, 2022. https://doi.org/10.2139/ssrn.4145868

Köbis, N., Starke, C., & Rahwan, I. (2021). Artificial intelligence as an anti-corruption tool (AI-ACT): Potentials and pitfalls for top-down and bottom-up approaches. arXiv, 2102.11567.

Leib, M., Köbis, N. C., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2021). The corruptive force of AI-generated advice. arXiv, 2102.07536.