Iyad Rahwan - Publications
Journal Article (82)
2022
Journal Article
Rahwan, I., & (2022). Polarized citizen preferences for the ethical allocation of scarce medical resources in 20 countries. MDM Policy & Practice, 7(2). https://doi.org/10.1177/23814683221113573
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Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N. (2022). Hybrid social learning in human-algorithm cultural transmission. Philosophical Transactions of the Royal Society of London: A, Mathematical, Physical and Engineering Sciences, 380(2227), Article 20200426. https://doi.org/10.1098/rsta.2020.0426
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Cebrian, M., & Rahwan, I. (2022). Automation impacts on China’s polarized job market. Journal of Computational Social Science, 5, 517–535. https://doi.org/10.1007/s42001-021-00134-8
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Köbis, N., , & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4, 418–424. https://doi.org/10.1038/s42256-022-00489-1
Journal Article
Obradovich, N., , , , , Cebrián, M., , , Rahwan, I., & (2022). Expanding the measurement of culture with a sample of two billion humans. Journal of the Royal Society Interface, 19(190), Article 20220085. https://doi.org/10.1098/rsif.2022.0085
2021
Journal Article
Cebrian, M., , , , & Rahwan, I. (2021). Superintelligence cannot be contained: Lessons from computability theory. Journal of Artificial Intelligence Research, 70, 65–76. https://doi.org/10.1613/jair.1.12202
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Journal Article
Rahwan, I., & Cebrian, M. (2021). Evolution of urban forms observed from space. EPJ Data Science, 10, Article 27. https://doi.org/10.1140/epjds/s13688-021-00283-w
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Obradovich, N., Cebrian, M., & Rahwan, I. (2021). Human detection of machine-manipulated media. Communications of the ACM, 64(10), 40–47. https://doi.org/10.1145/3445972
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Köbis, N., , & Rahwan, I. (2021). Bad machines corrupt good morals. Nature Human Behaviour, 5(6), 679–685. https://doi.org/10.1038/s41562-021-01128-2
Journal Article
Rutherford, A., Cebrian, M., & Rahwan, I. (2021). Universal resilience patterns in labor markets. Nature Communications, 12, Article 1972. https://doi.org/10.1038/s41467-021-22086-3
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Pescetelli, N., Rutherford, A., & Rahwan, I. (2021). Modularity and composite diversity affect the collective gathering of information online. Nature Communications, 12, Article 3195. https://doi.org/10.1038/s41467-021-23424-1
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Rutherford, A., , , & Rahwan, I. (2021). The evolution of deception. Royal Society Open Science, 8, Article 201032. https://doi.org/10.1098/rsos.201032
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Journal Article
Awad, E., Rahwan, I., & Cebrian, M. (2021). Algorithmic and human prediction of success in human collaboration from visual features. Scientific Reports, 11, Article 2756. https://doi.org/10.1038/s41598-021-81145-3
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Rutherford, A., , & Rahwan, I. (2021). Developing China's workforce skill taxonomy reveals extent of labor market polarization. Humanities and Social Sciences Communications, 8, Article 187. https://doi.org/10.1057/s41599-021-00862-2
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Rahwan, I. (2020). Crowdsourcing moral machines. Communications of the ACM, 63(3), 48–55. https://doi.org/10.1145/3339904
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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
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Rahwan, I., & (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
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Rahwan, I., & (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
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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
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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
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