Semaine 1

• Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and machines, 28(4), 689-707.
• Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2020). From what to how: an initial review of publicly available AI ethics tools, methods, and research to translate principles into practices. Science and engineering ethics, 26(4), 2141-2168.

Semaine 2

• Cusset, P. Y. (2025). Sommes-nous dominés par les algorithmes? Constructif, 70(1), 27-30.
• Zajko, M. (2022). Artificial intelligence, algorithms, and social inequality: Sociological contributions to contemporary debates. Sociology Compass, 16(3), e12962.

Semaine 3

• de Laat, P. B. (2022). Algorithmic decision-making employing profiling: Will trade secrecy protection render the right to explanation toothless? PB de Laat. Ethics and Information Technology, 24(2), 17.
• Nzobonimpa 1, S. (2022). Algorithmes et intelligence artificielle: une note sur l’état de la réglementation des technologies utilisant la reconnaissance faciale automatique au Canada et aux États-Unis. Revue Gouvernance, 19(2), 99-114.
• Zuboff, S. (2019, January). Surveillance capitalism and the challenge of collective action. In New Labor Forum (Vol. 28, No. 1, pp. 10-29). Sage CA: Los Angeles, CA: Sage Publications.

Semaine 4

• Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society
• Vuarin, L., & Steyer, V. (2023). Le principe d’explicabilité de l’IA et son application dans les organisations. Réseaux, 240(4), 179-210.

Semaine 5

• Hagendorff, T. (2024). Mapping the Ethics of Generative AI: A Comprehensive Scoping Review: T.Hagendorff. Minds and Machines, 34(4), 39.
• Ohounlome, K. P. (2025). Éthique de l’IA dans l’enseignement supérieur et le recrutement: étude comparative des enjeux éthiques liés à l’usage de l’intelligence artificielle générative par les étudiants et les recruteurs. Communication, technologies et développement, (19).
• Schlagwein, D., & Willcocks, L. (2023). ‘ChatGPT et al.’: The ethics of using (generative) artificial intelligence in research and science. Journal of Information Technology, 38(3), 232-238.

Semaine 6

• Boudoumi, M. (2024). L'impact de l'intelligence artificielle sur les processus décisionnels en entreprise.
• Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human–AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586.
• Shrestha, Y. R., Ben Menahem, S., & von Krogh, G. (2019). Organizational decision-making structures in the age of artificial intelligence. California Management Review, 61(4), 66–83.

Semaine 7

• Cologon, R. (2026). «Je sonne»: les livreurs Deliveroo sous l’emprise du management algorithmique. La nouvelle revue du travail, (28).
• Möhlmann, M., & Henfridsson, O. (2019). What people hate about being managed by algorithms, according to a study of Uber drivers. Harvard Business Review, 30(August), 1-7.

Semaine 8

• Giorgi, C., & Guillard, A. (2025). La gouvernance Data & IA: catalyseur de transversalité organisationnelle dans les entreprises–Une étude exploratoire. Question (s) de management, 56(4), 111-122.
• Papagiannidis, E., Enholm, I. M., Dremel, C., Mikalef, P., & Krogstie, J. (2023). Toward AI governance: Identifying best practices and potential barriers and outcomes. Information Systems Frontiers, 25(1), 123-141.
• Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2023). Artificial intelligence governance for businesses. Information Systems Management, 40(3), 229-249.

Semaine 9

• Clarke, R. (2019). Principles and business processes for responsible AI. Computer Law & Security Review, 35(4), 410-422.
• Martin, K. (2019). Ethical Implications and Accountability of Algorithms: K. Martin. Journal of Business Ethics, 160(4), 835-850.
• Mikalef, P., Conboy, K., Lundström, J. E., & Popovič, A. (2022). Thinking responsibly about responsible AI and ‘the dark side’ of AI. European Journal of Information Systems, 31(3), 257-268.
• Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: A review and research framework. The Journal of Strategic Information Systems, 34(2), 101885.

Semaine 10

• Csaszar, Felipe A., Harsh Ketkar, and Hyunjin Kim. (2024). Artificial intelligence and strategic decision-making: Evidence from entrepreneurs and investors. Strategy Science 9.4, 322-345
• Haftor, D. M., Costa-Climent, R., & Ribeiro-Navarrete, S. (2024). Firms’ use of predictive artificial intelligence for economic value creation and appropriation. International Journal of Information Management, 79, 102836
• Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & management, 58(3), 103434.

Semaine 11

• Cardon, D. (2018). Le pouvoir des algorithmes. Pouvoirs, 164(1), 63-73.
• König, P. D. (2022). Two tales about the power of algorithms in online environments: on the need for transdisciplinary dialogue in the study of algorithms and digital capitalism. Media, Culture & Society, 44(7), 1372-1382.
• Metzler, H., & García, D. (2024). Social drivers and algorithmic mechanisms on digital media. Perspectives on Psychological Science, 19(5), 735-748.
• Tsamados, A., Aggarwal, N., Cowls, J., Morley, J., Roberts, H., Taddeo, M., & Floridi, L. (2022). The ethics of algorithms: key problems and solutions. AI & society, 37(1), 215-230.

Semaine 12

• Attard-Frost, B., Brandusescu, A., & Lyons, K. (2024). The governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives. Government Information Quarterly, 41(2), 101929.
• de Marcellis-Warin, N., Marty, F., & Warin, T. (2025). Réglementer l’intelligence artificielle sur la base des risques. Perspectives économiques et éthiques. Revue économique, 76(1), 87-114.

Semaine 13

• Buccella, A. (2023). “AI for all” is a matter of social justice. AI and Ethics, 3(4), 1143-1152.
• Hartley, K., & Kuecker, G. (2026). The injustice of AI for social justice: A critical-theoretical perspective. Gestion et management public, 14(2), 11-26.
• Rouvroy, A., & Berns, T. (2013). Gouvernementalité algorithmique et perspectives d’émancipation, Réseaux, 177(1), 163–196.

Semaine 14

• Ghosh, A., Saini, A., & Barad, H. (2025). Artificial intelligence in governance: recent trends, risks, challenges, innovative frameworks, and future directions. AI & SOCIETY, 40(7), 5685-5707.
• Roberts, H., Hine, E., Taddeo, M., & Floridi, L. (2024). Global AI governance: barriers and pathways forward. International Affairs, 100(3), 1275-1286.