Buchkapitel (1)
2020
Buchkapitel
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.
, , & Konferenzbeitrag (2)
2021
Konferenzbeitrag
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
Konferenzbeitrag
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.
, , , Forschungspapier (2)
2021
Forschungspapier
Köbis, N., , & Rahwan, I. (2021). Bad machines corrupt good morals (TSE Working Papers No. 1212). Toulouse School of Economics.
Forschungspapier
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 (3)
2022
Preprint
Köbis, N., , , , & (2022). Bribery across nations. Research Square, 25 May 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1
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
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