References
Office of US Senator Ron Wyden. Algorithmic Accountability Act of 2022 (2022).
Danks, D. & London, A. J. IEEE Intell. Syst. 32, 88–91 (2017).
Tsamados, A. et al. AI Soc. 37, 215–230 (2021).
Kahneman, D., Sibony, O. & Sunstein, C. R. Noise: a Flaw in Human Judgment (Little, Brown Spark, 2021).
Whittlestone, J., Alexandrova, A., Nyrup, R. & Cave, S. In Proc. 2019 AAAI/ACM Conference on AI, Ethics, and Society 195–200 (2019).
Kleinberg, J., Mullainathan, S. & Raghavan, M. Lebniz. Int. Proc. Inform. 67, 1–23 (2017).
Floridi, L. Philos. Technol. 34, 619–622 (2021).
European Commission. Proposal for Regulation of the European Parliament and of the Council - Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts (2021).
Mökander, J., Axente, M., Casolari, F. & Floridi, L. Minds Mach. 32, 241–268 (2021).
Bradford, A. The Brussels Effect (Oxford Univ. Press, 2020).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Mökander, J., Floridi, L. From algorithmic accountability to digital governance. Nat Mach Intell 4, 508–509 (2022). https://doi.org/10.1038/s42256-022-00504-5
Published:
Issue Date:
DOI: https://doi.org/10.1038/s42256-022-00504-5
- Springer Nature Limited
This article is cited by
-
Auditing of AI: Legal, Ethical and Technical Approaches
Digital Society (2023)
-
The Principle-at-Risk Analysis (PaRA): Operationalising Digital Ethics by Bridging Principles and Operations of a Digital Ethics Advisory Panel
Minds and Machines (2023)
-
Auditing large language models: a three-layered approach
AI and Ethics (2023)
-
A new regulatory framework for algorithm-powered recommendation services in China
Nature Machine Intelligence (2022)
-
Law, artificial intelligence, and synaesthesia
AI & SOCIETY (2022)