Readings in 2021-22
- Backer, Larry Catt. 2018. “And an Algorithm to Bind Them All? Social Credit, Data Driven Governance, and the Emergence of an Operating System for Global Normative Orders.” SSRN Electronic Journal Backer2018AlgorithmToBindThemAll_4j88c7
- Creemers, Rogier. manuscript. “China’s Social Credit System: An Evolving Practice of Control.” SSRN Electronic Journal
- Danaher, J. The Threat of Algocracy: Reality, Resistance and Accommodation. Philos. Technol. 29, 245–268 (2016). https://doi.org/10.1007/s13347-015-0211-1
- Floridi, L., Cowls, J., Beltrametti, M. et al. AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds & Machines 28, 689–707 (2018).
- Lundgren, B. Ethical machine decisions and the input-selection problem. Synthese 199, 11423–11443 (2021). https://doi.org/10.1007/s11229-021-03296-0
- Lundgren, B. Ethical machine decisions and the input-selection problem. Synthese 199, 11423–11443 (2021). https://doi.org/10.1007/s11229-021-03296-0
- Two documents from AI regulatory initiatives:
- Bostrom, Nick, and Eliezer Yudkowsky. 2014. “The Ethics of Artificial Intelligence.” In The Cambridge Handbook of Artificial Intelligence, edited by Keith Frankish, and William M. Ramsey, 316–34. Cambridge: Cambridge University Press.
- Sander, Ina. 2020. “What is Critical Big Data Literacy and How Can it be Implemented.” Internet Policy Review 9 (2):
- Selbst, Andrew D, and Solon Barocas. 2018. “The Intuitive Appeal of Explainable Machines.” Fordham Law Review 87 1085.