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Responsable(s) Marc-Kevin Daoust

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Documentation obligatoire

Des extraits de lectures complémentaires et obligatoires seront disponibles en ligne sur la plateforme Moodle.



Ouvrages de références

Dressel, J., & Farid, H. (2018). The accuracy, fairness, and limits of predicting recidivism. Science advances, 4(1), eaao5580.

Floridi, L. (2013). The ethics of information. Oxford University Press, USA.

Floridi, L., & Taddeo, M. (2016). What is data ethics?. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160360.

Fry, H. (2018). Hello world: Being human in the age of algorithms. WW Norton & Company.

Habgood-Coote, J. (2019). Stop talking about fake news!. Inquiry, 62(9-10), 1033-1065.

Jenkins, R., Cerný, D., & Hríbek, T. (Eds.). (2022). Autonomous Vehicle Ethics: The Trolley Problem and Beyond. Oxford University Press.

Maclure, J. (2021). AI, explainability and public reason: the argument from the limitations of the human mind. Minds and Machines, 31(3), 421-438.

Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2021). Algorithmic fairness: Choices, assumptions, and definitions. Annual Review of Statistics and Its Application, 8, 141-163.

Morin-Martel, A. (2023). Machine learning in bail decisions and judges’ trustworthiness. AI & society, 1-12.

Munton, J. (2022). Answering machines: how to (epistemically) evaluate a search engine. Inquiry, 1-29.

Nguyen, C. T. (2020). Echo chambers and epistemic bubbles. Episteme, 17(2), 141-161.

Nguyen, C. T. (2021). How Twitter gamifies communication. Applied epistemology, 5(6), 410-436.

Nyholm, S. (2022). This is technology ethics: An introduction. John Wiley & Sons.

Rubel, A., Castro, C., & Pham, A. (2021). Algorithms and autonomy: the ethics of automated decision systems. Cambridge University Press.

Zuboff, S. (2020). L’âge du capitalisme de surveillance. Paris, Zulma.