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.

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

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.), 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.

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.

Obradovich, N., & Minor, K. (2022). Identifying and preparing for the mental health burden of climate change. JAMA Psychiatry (No. 79). https://doi.org/10.1001/jamapsychiatry.2021.4280

Köbis, N., Dorrough, A., Irlenbusch, B., Shalvi, S., & Gloeckner, A. (2022). Bribery across nations. Research Square, 25 May 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1

Müller, T. F., Brinkmann, L., Winters, J., & Pescetelli, N. (2022). Machine impostors avoid human detection by interrupting the formation of stable conventions: A minimal turing test. PsyArXiv, 28 April 2022. https://doi.org/10.31234/osf.io/x2yf7

Yang, Q., Wei, W., Zhang, R., Pang, B., & Feng, X. (2022). Enhance ambiguous community structure via multi-strategy community related link prediction method with evolutionary process. arXiv, 2204.13301. https://doi.org/10.48550/arXiv.2204.13301