Center for Humans and Machines
Publications 2020-2022/23

Awad, E., Dsouza, S., Bonnefon, J. F., Shariff, A., & Rahwan, I. (2020). Crowdsourcing moral machines. Communications of the ACM, 63(3), 48–55. https://doi.org/10.1145/3339904

Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2020). Reply to: Life and death decisions of autonomous vehicles. Nature, 579(7797), E3–E5. https://doi.org/10.1038/s41586-020-1988-3

Awad, E., Dsouza, S., Shariff, A., Rahwan, I., & Bonnefon, J.-F. (2020). Universals and variations in moral decisions made in 42 countries by 70,000 participants. Proceedings of the National Academy of Sciences of the United States of America, 117(5), 2332–2337. https://doi.org/10.1073/pnas.1911517117

Awad, E., Dsouza, S., Shariff, A., Rahwan, I., & Bonnefon, J.-F. (2020). Reply to Claessens et al.: Maybe the footbridge sacrifice is indeed the only one that sends a negative social signal. Proceedings of the National Academy of Sciences of the United States of America, 117(24), 13205–13206. https://doi.org/10.1073/pnas.2007044117

Awad, E., Levine, S., Kleiman-Weiner, M., Dsouza, S., Tenenbaum, J. B., Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2020). Drivers are blamed more than their automated cars when both make mistakes. Nature Human Behaviour, 4, 134–143. https://doi.org/10.1038/s41562-019-0762-8

Balsa-Barreiro, J., Vié, A., Morales, A. J., & Cebrián, M. (2020). Deglobalization in a hyper-connected world. Palgrave Communications, 6, Article 28. https://doi.org/10.1057/s41599-020-0403-x

Bonnefon, J.-F., & Rahwan, I. (2020). Machine thinking, fast and slow. Trends in Cognitive Sciences, 24(12), 1019–1027. https://doi.org/10.1016/j.tics.2020.09.007

Cai, M., Shah, N., Li, J., Chen, W.-H., Cuomo, R. E., Obradovich, N., & Mackey, T. K. (2020). Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study. PLoS ONE, 15(8), Article e0235150. https://doi.org/10.1371/journal.pone.0235150

Cuomo, R. E., Cai, M., Shah, N., Li, J., Chen, W.-H., Obradovich, N., & Mackey, T. K. (2020). Characterising communities impacted by the 2015 Indiana HIV outbreak: A big data analysis of social media messages associated with HIV and substance abuse. Drug and Alcohol Review, 39(7), 908–913. https://doi.org/10.1111/dar.13091

Epstein, Z., Levine, S., Rand, D. G., & Rahwan, I. (2020). Who gets credit for AI-generated art? iScience, 23(9), Article 101515. https://doi.org/10.1016/j.isci.2020.101515

Hong, I., Frank, M. R., Rahwan, I., Jung, W.-S., & Youn, H. (2020). The universal pathway to innovative urban economies. Science Advances, 6(34), Article eaba4934. https://doi.org/10.1126/sciadv.aba4934

Lüdecke, D., Ben-Shachar, M. S., Patil, I., & Makowski, D. (2020). Extracting, computing and exploring the parameters of statistical models using R. Journal of Open Source Software, 5(53), Article 2445. https://doi.org/10.21105/joss.02445

Moore, F. C., & Obradovich, N. (2020). Using remarkability to define coastal flooding thresholds. Nature Communications, 11, Article 530. https://doi.org/10.1038/s41467-019-13935-3

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). BeeMe: Real-time internet control of situated human agents. Computer, 53(8), 49–58. https://doi.org/10.1109/MC.2020.2996824

Pescetelli, N., & Yeung, N. (2020). The effects of recursive communication dynamics on belief updating. Proceedings of the Royal Society of London: B, Biological Sciences, 287(1931), Article 20200025. https://doi.org/10.1098/rspb.2020.0025

Rahwan, I., Crandall, J. W., & Bonnefon, J.-F. (2020). Intelligent machines as social catalysts. Proceedings of the National Academy of Sciences of the United States of America, 117(14), 7555–7557. https://doi.org/10.1073/pnas.2002744117

Rich, A. S., Rudin, C., Jacoby, D. M. P., Freeman, R., Wearn, O. R., Shevlin, H., Dihal, K., ÓhÉigeartaigh, S. S., Butcher, J., Lippi, M., Palka, P., Torroni, P., Wongvibulsin, S., Begoli, E., Schneider, G., Cave, S., Sloane, M., Moss, E., Rahwan, I., Goldberg, K., Howard, D., Floridi, L., & Stilgoe, J. (2020). AI reflections in 2019. Nature Machine Intelligence, 2, 2–9. https://doi.org/10.1038/s42256-019-0141-1

Roy, K. C., Hasan, S., Sadri, A. M., & Cebrian, M. (2020). Understanding the efficiency of social media based crisis communication during hurricane Sandy. International Journal of Information Management, 52, Article 102060. https://doi.org/10.1016/j.ijinfomgt.2019.102060

Sadri, A. M., Hasan, S., Ukkusuri, S. V., & Cebrian, M. (2020). Exploring network properties of social media interactions and activities during Hurricane Sandy. Transportation Research Interdisciplinary Perspectives, 6, Article 100143. https://doi.org/10.1016/j.trip.2020.100143

Wang, J., Obradovich, N., & Zheng, S. (2020). A 43-million-person investigation into weather and Expressed sentiment in a changing climate. One Earth, 2(6), 568–577. https://doi.org/10.1016/j.oneear.2020.05.016

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.

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.