KDDC 2041A - Ethics and responsibility of new digital services

This course aims to develop students' reflexive abilities on the issues raised by the integration of new digital technologies in products and services developed by organizations. The aim of the course is for students to master the concepts and methods that enable them to conduct ethical reflection in the management of new digital products and services. The course will address several questions: what is ethics? What are the different ethics (normative, applied, meta-ethics)? How to conduct ethical reflection on new technologies (tensions, dilemmas, deliberation)? How to identify controversies? What are the major ethical questions that managers developing new digital services must ask themselves? What are the tensions and best practices of responsible management of digital technologies?
Christine BALAGUÉ
Séminaire
English
12h courses + 12h readings and essay writing and work in groups
Autumn 2023-2024
Individual essay of 4-5 pages on a topic provided by the teacher : 50% Oral participation : 20% Group work presented during the course (students facing ethical dilemmas) : 30%
The course will alternate between the presentation of different concepts by the teacher and the presentation of students facing ethical dilemmas related to the integration of new technologies in digital products and services.
Benamar Lamya, Balagué Christine, Zhong Zeling (2020), Internet of Things devices appropriation process: The Dynamic Interactions Value Appropriation (DIVA) framework, Technovation, Volume 89, 102082, https://doi.org/10.1016/j.technovation.2019.06.001
Bertail P., Bournie D., Clemencon S., Waelbroerck P.(2019) Algorithmes : biais, discrimination et équité, Fondation Abeona
Buhmann, A., & Fieseler, C. (2021). Towards a deliberative framework for responsible innovation in artificial intelligence. Technology in Society, 64, 101475. https://doi.org/10.1016/j.techsoc.2020.101475
Casilli Antonio (2019) En attendant les robots, enquête sur le travail du clic, Editions du Seuil, Paris.
Coad, A., Nightingale, P., Stilgoe, J., & Vezzani, A. (2021). Editorial: The dark side of innovation. Industry and Innovation, 28(1), 102–112. https://doi.org/10.1080/13662716.2020.1818555
Crawford K., Dobbe R., Dryer T., Fried G., Green B., Kaziunas E., Kak A., Mathur V., McElroy E., Sánchez A/N., Raji D., Rankin J.D., Richardson R., Schultz J., Myers S., Whittaker M. (2019), AI Now report, AI now Institute, New York University
Déclaration de Montréal sur l'IA responsable (2018) :https://www.declarationmontreal- iaresponsable.com/la-declaration
Eubanks Virginia (2018). Automating inequality, how high tech tools profiles, polish and punish the poor, St. Martin's Press (January 23, 2018)
High-Level Expert Group on Artificial Intelligence (set up by the European Commission) (2019), Ethics guidelines for Trustworthy Artificial Intelligence
Lobschat, L., Mueller, B., Eggers, F., Brandimarte, L., Diefenbach, S., Kroschke, M., & Wirtz, J. (2021). Corporate digital responsibility. Journal of Business Research, 122, 875–888. https://doi.org/10.1016/j.jbusres.2019.10.006
Matthews Jean-Marie, Cardon Dominique, Balagué Christine (2022). From Reality to World. A Critical Perspective on AI Fairness. Journal of Business Ethics, DOI : 10.1007/s10551-022-05055-8
Lambrecht, A., & Tucker, C. (2019). Algorithmic bias? an empirical study of apparent gender-based discrimination in the display of stem career ads. Management Science, 65(7), 2966-2981.
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453.
https://blogrecherche.wp.imt.fr/2020/04/06/reseaux-sociaux-sexisme-ordinaire- algorithmes-publicitaires/
Paris B., Donovan J. (2019) Deepfakes and cheap fakes, The manipulation of audio and visual evidence, Data & Society, september.
Raji, I. D., Gebru, T., Mitchell, M., Buolamwini, J., Lee, J., & Denton, E. (2020). Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. arXiv preprint arXiv:2001.00964.
Seigneurin Marion, Balagué Christine (2021). Publicité Numérique Responsable, rapport de la Chaire Good in Tech. https://www.goodintech.org/Rapports.html
Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2019). Fairness and abstraction in sociotechnical systems. In Proceedings of the Conference on Fairness, Accountability, and Transparency FAT2019, pp. 59-68.
Strubell E., Ganesh A., McCallum A. (2019). Energy and Policy Considerations for Deep Learning in NLP, arXiv preprint arXiv:1906.02243, 2019 - arxiv.org
Whittaker M., Crawford K., Dobbe R., Fried G., Kaziunas E., Mathur V., Myers West S., Richardson R. Schultz J. (2018), AI Now report, AI now Institute, New York University
Zhong Zeling, Balagué Christine (2023). Understanding the Role of Consumer Psychological Motives in Smart Connected Objects Appropriation: A Higher Order PLS- SEM Approach. Springer Proceedings in Business and Economics, forthcoming