Skip to main content
Log in

From algorithmic accountability to digital governance

  • Correspondence
  • Published:

From Nature Machine Intelligence

View current issue Submit your manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Office of US Senator Ron Wyden. Algorithmic Accountability Act of 2022 (2022).

  2. Danks, D. & London, A. J. IEEE Intell. Syst. 32, 88–91 (2017).

    Article  Google Scholar 

  3. Tsamados, A. et al. AI Soc. 37, 215–230 (2021).

    Article  Google Scholar 

  4. Kahneman, D., Sibony, O. & Sunstein, C. R. Noise: a Flaw in Human Judgment (Little, Brown Spark, 2021).

  5. Whittlestone, J., Alexandrova, A., Nyrup, R. & Cave, S. In Proc. 2019 AAAI/ACM Conference on AI, Ethics, and Society 195–200 (2019).

  6. Kleinberg, J., Mullainathan, S. & Raghavan, M. Lebniz. Int. Proc. Inform. 67, 1–23 (2017).

    Google Scholar 

  7. Floridi, L. Philos. Technol. 34, 619–622 (2021).

    Article  Google Scholar 

  8. 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).

  9. Mökander, J., Axente, M., Casolari, F. & Floridi, L. Minds Mach. 32, 241–268 (2021).

    Article  Google Scholar 

  10. Bradford, A. The Brussels Effect (Oxford Univ. Press, 2020).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jakob Mökander.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s42256-022-00504-5

  • Springer Nature Limited

This article is cited by

Navigation