The limitation of ethics-based approaches to regulating artificial intelligence: regulatory gifting in the context of Russia

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The effects that artificial intelligence (AI) technologies will have on society in the short- and long-term are inherently uncertain. For this reason, many governments are avoiding strict command and control regulations for this technology and instead rely on softer ethics-based approaches. The Russian approach to regulating AI is characterized by the prevalence of unenforceable ethical principles implemented via industry self-regulation. We analyze the emergence of the regulatory regime for AI in Russia to illustrate the limitations of this approach. The article is based on 50 interviews with policymakers, representatives of AI companies, and academics in the country. The findings show that this regulatory regime was formed under the strong influence of Russian big tech companies, which saw an opportunity to avoid regulatory oversight by washing out concrete regulatory measures from the policy. This approach is part of a broader protectionist sanction-proofing strategy for the local IT sector designed by the government, which can be characterized by lifting regulatory barriers for local companies. Unenforceable ethics-based self-regulation is a regulatory gift from the Russian government to the industry. This gift was intentionally designed because the government thought that prioritizing local innovation over consumer protection would benefit the public. However, the gift can also unintentionally undermine the public interest by providing an opportunity for ethics washing.
Original languageEnglish
Pages (from-to)1381-1396
Number of pages16
JournalAI and Society
Volume39
Issue number3
Early online date13 Dec 2022
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

Bibliographical note

The project was approved by the Human Research Ethics Committee of the Hong Kong University of Science and Technology with Protocol Number: HREP-2021-0071.

Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022.

Funding

No funding was received for conducting this study.

Keywords

  • AI regulation
  • Emerging technology governance
  • Ethics washing
  • Regulatory capture
  • Regulatory gift
  • Russia

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