3.9 Article

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

期刊

AI & SOCIETY
卷 -, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1007/s00146-022-01611-y

关键词

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

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This article examines Russia's approach to AI regulation, which relies on industry self-regulation based on unenforceable ethical principles. However, this approach has limitations and may pose challenges for the industry.
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.

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