Book Chapter (7)

2020
Book Chapter
Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2020). The moral psychology of AI and the ethical opt-out problem. In S. M. Liao (Ed.), Ethics of artificial intelligence (pp. 109–126). Oxford University Press.

Conference Paper (9)

2025
Conference Paper
Yun, C., Wagner, C., & Heilinger, J.-C. (2025). It is not about bias but discrimination. In M. Cerrato, A. Vallenas Coronel, P. Ahrweiler, M. Loi, M. Pechenizkiy, & A. Tamò-Larrieux (Eds.), EWAF '24: Proceedings of the 3rd European Workshop on Algorithmic Fairness. CEUR Workshop Proceedings.
2024
Conference Paper
Arakawa, R., & Yakura, H. (2024). Coaching copilot: Blended form of an LLM-powered chatbot and a human coach to effectively support self-reflection for leadership growth. In M. Dubiel & L. A. Leiva (Eds.), CUI '24: Proceedings of the 6th ACM Conference on Conversational User Interfaces. ACM Digital Library. https://doi.org/10.1145/3640794.3665549
Conference Paper
Arakawa, R., Yakura, H., & Goel, M. (2024). PrISM-Observer: Intervention agent to help users perform everyday procedures sensed using a smartwatch. In L. Yao, M. Goel, A. Ion, & P. Lopes (Eds.), UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. ACM Digital Library. https://doi.org/10.1145/3654777.3676350
Conference Paper
Baumann, F., Halpern, D., Procaccia, A. D., Rahwan, I., Shapira, I., & Wüthrich, M. (2024). Optimal engagement-diversity tradeoffs in social media. In WWW '24: Proceedings of the ACM on Web Conference 2024 (pp. 288–299). https://doi.org/10.1145/3589334.3645713
Conference Paper
Engelmann, N., Hannikainen, I. R., González-García, C., & Ruz, M. (2024). Understanding rule enforcement using drift diffusion models. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46, pp. 114–120). UC Merced.
2022
Conference Paper
Khajehnejad, A., Khajehnejad, M., Babaei, M., Gummadi, K., Weller, A., & Mirzasoleimanbarzi, B. (2022). CrossWalk: Fairness-enhanced node representation learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 11963–11970). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21454
Conference Paper
Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Indirect causal influence of a single bot on opinion dynamics through a simple recommendation algorithm. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex networks & their applications X: Vol. 2. Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (pp. 28–41). Springer. https://doi.org/10.1007/978-3-030-93413-2_3
2021
Conference Paper
Jung, C., Hong, I., Sáez-Trumper, D., Lee, D., Myung, J., Kim, D., Yun, J., Jung, W.-S., & Cha, M. (2021). Information flow on COVID-19 over Wikipedia: A case study of 11 languages. In WWW '21: Companion Proceedings of the Web Conference 2021. Ljubljana, Slovenia, April 19 - 23, 2021 (pp. 627–628). International World Wide Web Conferences Committee. https://doi.org/10.1145/3442442.3452352
2020
Conference Paper
Serna, I., Morales, A., Fierrez, J., Cebrian, M., Obradovich, N., & Rahwan, I. (2020). Algorithmic discrimination: Formulation and exploration in deep learning-based face biometrics. In H. Espinoza, J. Hernández-Orallo, X. C. Chen, S. S. ÓhÉigeartaigh, X. Huang, M. Castillo-Effen, R. Mallah, & J. McDermid (Eds.), Proceedings of the Workshop on Artificial Intelligence Safety (SafeAI 2020): Co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020). New York, USA, Feb 7, 2020 (pp. 146–152). RWTH.

Working Paper (9)

2025
Working Paper
Figueroa, C., Mol, J. M., Soraperra, I., & van der Weele, J. J. (2025). Giving as a self-control problem (Tinbergen Institute Discussion Paper No. TI 2025-023/I). Tinbergen Institute.
2024
Working Paper
Cordes, S., Dertwinkel-Kalt, M., & Werner, T. (2024). What drives demand for loot boxes? An experimental study (Discussion Paper / DFG Research Unit: "Consumer Preferences, Consumer Mistakes, and Firms' Response" (FOR 5392) No. 2024/05). Heinrich-Heine-University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE), DFG Research Unit: "Consumer Preferences, Consumer Mistakes, and Firms' Response" (FOR 5392).
Working Paper
Huelden, T., Jascisens, V., Roemheld, L., & Werner, T. (2024). Human-machine interactions in pricing: Evidence from two large-scale field experiments (DICE Discussion Paper No. 412). Heinrich-Heine-University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
2023
Working Paper
Caliari, D., & Soraperra, I. (2023). Planning to cheat: Temptation and self-control (Discussion Paper / Wissenschaftszentrum Berlin für Sozialforschung gGmbH No. SP II 2023-205). Wissenschaftszentrum Berlin für Sozialforschung gGmbH.
Working Paper
Hunold, M., & Werner, T. (2023). Algorithmic price recommendations and collusion: Experimental evidence (DICE Discussion Paper No. 410). Heinrich-Heine-University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
Working Paper
Mol, J. M., Soraperra, I., & van der Weele, J. J. (2023). Spoiling the party: Experimental evidence on the willingness to transmit inconvenient ethical information (Tinbergen Institute Discussion Paper No. TI 2023-062/I). Tinbergen Institute.
Working Paper
Onderstal, S., Shalvi, S., & Soraperra, I. (2023). Competition modulates buyers' reaction to sellers' cheap talk (Tinbergen Institute Discussion Paper No. 35). Tinbergen Institute.
2021
Working Paper
Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals (TSE Working Papers No. 1212). Toulouse School of Economics.
Working Paper
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.

Report (1)

2023
Report
World Health Organization , The Contact Tracing Guidance Development Group [Member of the MPIB: Manuel Cebrian], & Pan American Health Organization (PAHO) / WHO Regional Office of the Americas (AMRO). (2023). Considerations for implementing and adjusting public health and social measures in the context of COVID-19: Interim guidance 30 March 2023.