The Central Bank of Russia has outlined soft regulation and the creation of trusted data sharing platforms as the main priorities for developing artificial intelligence in the financial market, following discussion of its paper on AI in finance. It said it will keep a technology neutral approach and preserve a cross-sectoral regulatory framework that can reflect differences in AI adoption and risk across industries. Feedback from market participants pointed to the need for accessible infrastructure, high-quality training data, trust in AI technologies, and favourable regulatory conditions. Participants also supported trusted data sharing platforms that would let financial institutions train AI jointly to combat fraud, assess risks, and improve customer service. The central bank will draft proposals for regulating these platforms, work to remove barriers to the use of privacy enhancing technologies, and in 2026 compile with financial institutions a collection of best practices for complying with the Ethics Code for Artificial Intelligence Development and Use in Finance. It will also continue monitoring AI use by financial institutions together with relevant agencies and market participants.
Central Bank of Russia2026-05-28
Central Bank of Russia identifies soft regulation and trusted data platforms as priorities for AI in finance
The Central Bank of Russia identified soft regulation and trusted data-sharing platforms as its main priorities for developing artificial intelligence in the financial market, while maintaining technology neutrality and a cross-sectoral regulatory framework. It will draft proposals for regulating data-sharing platforms, remove barriers to privacy-enhancing technologies, compile best practices for complying with the Ethics Code for Artificial Intelligence in Finance in 2026, and continue monitoring AI use with other agencies and market participants.