Publikationen von Iyad Rahwan

Czaplicka, A., Baumann, F., & Rahwan, I. (2025). Mutual benefits of social learning and algorithmic mediation for cumulative culture. Journal of the Royal Society Interface, 22(225), Article 20240686. https://doi.org/10.1098/rsif.2024.0686

Abeliuk, A., Elbassioni, K., Rahwan, T., Cebrian, M., & Rahwan, I. (2024). Price of anarchy in algorithmic matching of romantic partners. ACM Transactions on Economics and Computation, 12(1), Article 2. https://doi.org/10.1145/3627985

Allen, K., Brändle, F., Botvinick, M., Fan, J. E., Gershman, S. J., Gopnik, A., Griffiths, T. L., Hartshorne, J. K., Hauser, T. U., Ho, M. K., de Leeuw, J. R., Ma, W. J., Murayama, K., Nelson, J. D., van Opheusden, B., Pouncy, T., Rafner, J., Rahwan, I., Rutledge, R. B., Sherson, J., Şimşek, Ö., Spiers, H., Summerfield, C., Thalmann, M., Vélez, N., Watrous, A. J., Tenenbaum, J. B., & Schulz, E. (2024). Using games to understand the mind. Nature Human Behaviour, 8, 1035–1043. https://doi.org/10.1038/s41562-024-01878-9

Awad, E., Levine, S., Loreggia, A., Mattei, N., Rahwan, I., Rossi, F., Talamadupula, K., Tenenbaum, J., & Kleiman-Weiner, M. (2024). When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Autonomous Agents and Multi-Agent Systems, 38, Article 35. https://doi.org/10.1007/s10458-024-09667-4

Baumann, F., Czaplicka, A., & Rahwan, I. (2024). Network structure shapes the impact of diversity in collective learning. Scientific Reports, 14, Article 2491. https://doi.org/10.1038/s41598-024-52837-3

Bonnefon, J.-F., Rahwan, I., & Shariff, A. (2024). The moral psychology of artificial intelligence. Annual Review of Psychology, 75, 653–675. https://doi.org/10.1146/annurev-psych-030123-113559

Burton, J. W., Lopez-Lopez, E., Hechtlinger, S., Rahwan, Z., Aeschbach, S., Bakker, M. A., Becker, J. A., Berditchevskaia, A., Berger, J., Brinkmann, L., Flek, L., Herzog, S. M., Huang, S., Kapoor, S., Narayanan, A., Nussberger, A.-M., Yasseri, T., Nickl, P., Almaatouq, A., Hahn, U., Kurvers, R. H. J. M., Leavy, S., Rahwan, I., Siddarth, D., Siu, A., Woolley, A. W., Wulff, D. U., & Hertwig, R. (2024). How large language models can reshape collective intelligence. Nature Human Behaviour, 8, 1643–1655. https://doi.org/10.1038/s41562-024-01959-9

Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., Bonnefon, J.-F., Brañas-Garza, P., Butera, L., Douglas, K. M., Everett, J. A. C., Gigerenzer, G., Greenhow, C., Hashimoto, D. A., Holt-Lunstad, J., Jetten, J., Johnson, S., Kunz, W. H., Longoni, C., Lunn, P., Natale, S., Paluch, S., Rahwan, I., Selwyn, N., Singh, V., Suri, S., Sutcliffe, J., Tomlinson, J., van der Linden, S., van Lange, P. A. M., Wall, F., van Bavel, J. J., & Viale, R. (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus, 3(6), Article pgae191. https://doi.org/10.1093/pnasnexus/pgae191

Dong, M., Bonnefon, J.-F., & Rahwan, I. (2024). Toward human-centered AI management: Methodological challenges and future directions. Technovation, 131, Article 102953. https://doi.org/10.1016/j.technovation.2024.102953

Dong, M., Conway, J. R., Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2024). Fears about artificial intelligence across 20 countries and six domains of application. American Psychologist. Advance online publication. https://doi.org/10.1037/amp0001454