Hostname: page-component-6bf8c574d5-n2sc8 Total loading time: 0 Render date: 2025-03-10T02:45:21.802Z Has data issue: false hasContentIssue false
  • English
  • Français

Recommendation of the Council on Artificial Intelligence (OECD)

Published online by Cambridge University Press:  12 March 2020

Karen Yeung
Karen Yeung*
Affiliation:
Karen Yeung is Interdisciplinary Professorial Fellow in Law, Ethics & Informatics, Birmingham Law School and School of Computer Science, the University of Birmingham, United Kingdom and Distinguished Visiting Fellow, Melbourne Law School, Australia.
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
International Legal Documents
Information
International Legal Materials , Volume 59 , Issue 1 , February 2020 , pp. 27 - 34
Copyright
Copyright © 2020 by The American Society of International Law

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

ENDNOTES

1 See, e.g., Jamie Bartlett, The People Vs Tech (2018). Tim O'Reilly, WTF? What's the Future and Why It's Up to Us (2017); Shoshana Zuboff, The Age of Surveillance Capitalism (2019).

2 See AI Ethics Guidelines Global Inventory, Algorithm Watch, https://algorithmwatch.org/en/project/ai-ethics-guidelines-global-inventory/.

3 “AI actors” are defined as individuals and organisations who play an active in the AI system lifecycle, including those that deploy or operate AI. See OECD, Recommendation of the Council on Artificial Intelligence [hereinafter Recommendation], ¶ I, OECD/LEGAL/0449 (May 21, 2019).

4 Id. ¶ II. For the purposes of the Recommendation, an “AI system” is defined as a “machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying levels of autonomy.” See Recommendation ¶ I.

5 See EU High Level Expert Group on AI, Ethics Guidelines for Trustworthyai (2019), at https://ec.europa.eu/futurium/en/ai-alliance-consultation.

6 Editorial, International Ethics Panel Must be Independent, 572 Nature 415 (2019), at https://www.nature.com/articles/d41586-019-02491-x.

7 G20 Osaka Leaders’ Declaration. G20 Ministerial Statement on Trade and Digital Economy, at https://g20.org/en.

8 UN Secretary General's High-Level Panel on Digital Cooperation, The Age of Digital Interdependence (June 2019), at https://www.un.org/en/pdfs/DigitalCooperation-report-for%20web.pdf.

9 Digital cooperation is defined as “the ways we work together to address the social, ethical, legal and economic impact of digital technologies in order to maximise their benefits and minimise their harm.” See id. 6.

10 Id. 22.

11 Id. 23.