Publikationen

Arakawa, R., Maeda, K., & Yakura, H. (2025). ConverSearch: Supporting experts in human behavior analysis of conversational videos with a multimodal scene search tool. ACM Transactions on Interactive Intelligent Systems, 15(1), Article 6. https://doi.org/10.1145/3709012

Bortolotti, S., Soraperra, I., Sutter, M., & Zoller, C. (2025). Too lucky to be true: Fairness views under the shadow of cheating unavailable. The Review of Economics and Statistics, 107(3), 771–785. https://doi.org/10.1162/rest_a_01394

Brinkmann, L., Cebrian, M., & Pescetelli, N. (2025). Adversarial dynamics in centralized versus decentralized intelligent systems. Topics in Cognitive Science, 17(2), 374–391. https://doi.org/10.1111/tops.12705

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

Johannsen, G. O., & Rodriguez, J. (2025). Monopsony power, competition law, and women’s informal labour markets in Latin America. Journal of European Competition Law & Practice, 16(2), 132–143. https://doi.org/10.1093/jeclap/lpaf019

Kirfel, L., MacCoun, R. J., Icard, T., & Gerstenberg, T. (2025). When AI meets counterfactuals: The ethical implications of counterfactual world simulation models. AI and Ethics. Advance online publication. https://doi.org/10.1007/s43681-025-00718-4

Köbis, N., Oded, S., de Bruijn, A. L., Huang, S., & van Rooij, B. (2025). Is less more? Field evidence on the impact of anti-bribery policies on employee knowledge and corrupt behavior. Regulation & Governance. Advance online publication. https://doi.org/10.1111/rego.70023

Liu, P., Chu, Y., Zhai, S., Zhang, T., & Awad, E. (2025). Morality on the road: Should machine drivers be more utilitarian than human drivers? Cognition, 254, Article 106011. https://doi.org/10.1016/j.cognition.2024.106011

Nishio, M., Koyanagi, A., Yakura, H., Hanawa, T., & Shi, S. (2025). Language-specific development of noun bias beyond infancy. Frontiers in Language Sciences, 4, Article 1556481. https://doi.org/10.3389/flang.2025.1556481

von Schenk, A., Klockmann, V., & Köbis, N. (2025). Social preferences toward humans and machines: A systematic experiment on the role of machine payoffs. Perspectives on Psychological Science, 20(1), 165–181. https://doi.org/10.1177/17456916231194949

Vu-Han, T.-L., Sunkara, V., Bermudez-Schettino, R., Schwechten, J., Runge, R., Perka, C., Winkler, T., Pokutta, S., Weiß, C., & Pumberger, M. (2025). Feature engineering for the prediction of scoliosis in 5q-spinal muscular atrophy. Journal of Cachexia, Sarcopenia and Muscle, 16(1), Article e13599. https://doi.org/10.1002/jcsm.13599

Zickfeld, J. H., Ścigała, K. A., Elbæk, C. T., Michael, J., Tønnesen, M. H., Levy, G., Ayal, S., Thielmann, I., Nockur, L., Peer, E., Capraro, V., Barkan, R., Bø, S., Bahník, Š., Nosenzo, D., Hertwig, R., Mazar, N., Weiss, A., Koessler, A.-K., Montal-Rosenberg, R., Hafenbrädl, S., Nielsen, Y. A., Kanngiesser, P., Schindler, S., Gerlach, P., Köbis, N., Jacquemet, N., Vranka, M., Ariely, D., Martuza, J. B., Feldman, Y., Białek, M., Woike, J. K., Rahwan, Z., Seidl, A., Chou, E., Kajackaite, A., Schudy, S., Glogowsky, U., Czarna, A. Z., Pfattheicher, S., & Mitkidis, P. (2025). Effectiveness of ex ante honesty oaths in reducing dishonesty depends on content. Nature Human Behaviour, 9, 169–187. https://doi.org/10.1038/s41562-024-02009-0

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

Christensen, J. F., Fernández, A., Smith, R. A., Michalareas, G., Yazdi, S. H. N., Farahi, F., Schmidt, E.-M., Bahmanian, N., & Roig, G. (2024). EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full‑body movement datasets. Behavior Research Methods, 56, 7498–7542. https://doi.org/10.3758/s13428-024-02433-0