Journal Article (83)
2019
Journal Article
Rahwan, I., , , , , , , , , , , , , , , , , , , , , , & (2019). Machine behaviour. Nature, 568(7753), 477–486. https://doi.org/10.1038/s41586-019-1138-y
Journal Article
Cebrian, M., & (2019). Quantifying human mobility resilience to extreme events using geo-located social media data. EPJ Data Science, 8, Article 18. https://doi.org/10.1140/epjds/s13688-019-0196-6
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Journal Article
Cebrian, M., & (2019). The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth. Royal Society Open Science, 6(11), Article 181640. https://doi.org/10.1098/rsos.181640
, , , Book Chapter (1)
2020
Book Chapter
Rahwan, I. (2020). The moral psychology of AI and the ethical opt-out problem. In (Ed.), Ethics of artificial intelligence (pp. 109–126). Oxford University Press.
, , & Conference Paper (2)
2021
Conference Paper
Hong, I., , , , , , , & (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
Cebrian, M., Obradovich, N., & Rahwan, I. (2020). Algorithmic discrimination: Formulation and exploration in deep learning-based face biometrics. In , , , , , , , & (Eds.), , , , , , , , & (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 (2)
2021
Working Paper
Köbis, N., , & Rahwan, I. (2021). Bad machines corrupt good morals (TSE Working Papers No. 1212). Toulouse School of Economics.
Working Paper
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.
, , & Editorial (1)
2022
Editorial
Obradovich, N., & (2022). Identifying and preparing for the mental health burden of climate change. JAMA Psychiatry (No. 79). https://doi.org/10.1001/jamapsychiatry.2021.4280
Preprint (20)
2022
Preprint
Rahwan, I., , , & Rutherford, A. (2022). Longitudinal complex dynamics of labour markets reveal increasing polarisation. arXiv, 2204.07073. https://doi.org/10.48550/arXiv.2204.07073
, , ,
Preprint
Rahwan, I., , , , & (2022). When is it acceptable to break the rules? Knowledge representation of moral judgement based on empirical data. arXiv, 2201.07763.
, , , ,
Preprint
Czaplicka, A., , , & (2022). Biased-voter model: How persuasive a small group can be? ArXiv, 2203.05376. https://doi.org/10.48550/arXiv.2203.05376
Preprint
Feng, X., & Rutherford, A. (2022). The dynamic resilience of urban labour networks. arXiv, 2202.12856 . https://doi.org/10.48550/arXiv.2202.12856
Preprint
Rahwan, I., & (2022). Ethical decision making for artificial intelligence: A social choice approach. arXiv, 2206.05160. https://doi.org/10.48550/arXiv.2206.05160
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Preprint
Köbis, N., , , , & (2022). Bribery across nations. Research Square, 25 May 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1
Preprint
Köbis, N., & (2022). A systematic literature review and integrative framework on the link between emotions and corruption. OSF Preprints, 15 June 2022. https://doi.org/10.31219/osf.io/8uzkf
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Preprint
Müller, T. F., Brinkmann, L., , & 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
Preprint
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
, , , , & 2021
Preprint
Köbis, N., , & Rahwan, I. (2021). Artificial intelligence as an anti-corruption tool (AI-ACT): Potentials and pitfalls for top-down and bottom-up approaches. arXiv, 2102.11567.
Preprint
Cebrian, M. (2021). Contact tracing: Computational bounds, limitations and implications. arXiv, 2102.13349.
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