Publications of Iyad Rahwan

Johnson, S. G. B., Karimi, A.-H., Bengio, Y., Chater, N., Gerstenberg, T., Larson, K., Levine, S., Mitchell, M., Rahwan, I., Schölkopf, B., & Grossmann, I. (2024). Imagining and building wise machines: The centrality of AI metacognition. arXiv, 2411.02478. https://doi.org/10.48550/arXiv.2411.02478

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

Werner, T., Soraperra, I., Calvano, E., Parkes, D. C., & Rahwan, I. (2024). Experimental evidence that conversational artificial intelligence can steer consumer behavior without detection. arXiv, 2409.12143. https://doi.org/10.48550/arXiv.2409.12143

Yakura, H., Lopez-Lopez, E., Brinkmann, L., Serna, I., Gupta, P., & Rahwan, I. (2024). Empirical evidence of large language model’s influence on human spoken communication. arXiv, 2409.01754. https://doi.org/10.48550/arXiv.2409.01754

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

Althobaiti, S., Alabdulkareem, A., Hanwen Shen, J., Rahwan, I., Frank, M., Moro, E., & Rutherford, A. (2022). Longitudinal complex dynamics of labour markets reveal increasing polarisation. arXiv, 2204.07073. https://doi.org/10.48550/arXiv.2204.07073

Fioravant, F., Rahwan, I., & Tohmé, F. A. (2022). Properties of aggregation operators relevant for ethical decision making in artificial intelligence. arXiv, 2206.05160. https://doi.org/10.48550/arXiv.2206.05160

Fioravanti, F., Rahwan, I., & Tohmé, F. A. (2022). Ethical decision making for artificial intelligence: A social choice approach. arXiv, 2206.05160. https://doi.org/10.48550/arXiv.2206.05160

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.

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). Real-time internet control of situated human agents. PsyArXiv, February 10, 2020. https://doi.org/10.31234/osf.io/xn7sr