Rutherford, A., d’Souza, S., Cebrian, M., Moro, E., & Rahwan, I. (2012). Social mobilization in context. Presented at NetSci 2012: International School and Conference on Network Science.

Rahwan, I. (2004). Interest-based negotiation in multi-agent systems [PhD Thesis, University of Melbourne, Department of Information Systems].

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

Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2021). “How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars” (TSE Working Papers No. 1215). Toulouse School of Economics.

Abdallah, S., Bonnefon, J.-F., Cebrian, M., Crandall, J. W., Ishowo-Oloko, F., Oudah, M., Rahwan, I., & Shariff, A. (2017). Cooperating with machines (Working Papers / Toulouse School of Economics No. 17-806). Toulouse School of Economics.

Atkinson, K., Cerutti, F., McBurney, P., Parsons, S., & Rahwan, I. (Eds.). (2016). Special issue on argumentation in multi-agent systems [Special issue]. Argument & Computation, 7(2-3).

Reed, C., Grasso, F., Simari, G., & Rahwan, I. (Eds.). (2010). Argument & Computation [Special issue]. Argument & Computation, 1(1).

Guszcza, J., Rahwan, I., Bible, W., Cebrian, M., & Katyal, V. (2018). Why we need to audit algorithms. Harvard Business Review. Advance online publication.

Cebrian, M., Rahwan, I., & Pentland, A. (2017). Beyond viral: Generating sustainable value from social media. MIT Sloan Management Review. Advance online publication.

Shariff, A., Rahwan, I., & Bonnefon, J.-F. (2016). Whose life should your car save? The New York Times.

Grasso, F., Rahwan, I., Reed, C., & Simari, G. R. (2011). Introducing Argument & Computation: Editorial. Argument & Computation (No. 1). https://doi.org/10.1080/19462161003734804

Pentland, A. P., & Rahwan, I. (2012). Method for promoting behavior change through social reward mediation. Google Patents.

Baumann, F., Halpern, D., Procaccia, A. D., Rahwan, I., Shapira, I., & Wuthrich, M. (2023). Optimal engagement-diversity tradeoffs in social media. arXiv, 2303.03549. https://doi.org/10.48550/arXiv.2303.03549

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., Longoni, C., Lunn, P., Natale, S., Rahwan, I., Selwyn, N., Singh, V., Suri, S., Sutcliffe, J., Tomlinson, J., van der Linden, S., Lange, P. A. M. V., Wall, F., Bavel, J. J. V., & Viale, R. (2023). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PsyArXiv, December 16, 2023. https://doi.org/10.31234/osf.io/6fd2y

Dong, M., Conway, J. R., Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2023). A psychological model predicts fears about artificial intelligence across 20 countries and 6 domains of application. PsyArXiv, October 12, 2023. https://doi.org/10.31234/osf.io/pjvqt

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

Awad, E., Levine, S., Loreggia, A., Mattei, N., Rahwan, I., Rossi, F., Talamadupula, K., Tenenbaum, J., & Kleiman-Weiner, M. (2022). When is it acceptable to break the rules? Knowledge representation of moral judgement based on empirical data. arXiv, 2201.07763.

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