Prospects for the Use of Artificial Intelligence by Financial Institutions in Ukraine (Financial and credit systems prospects for development)
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- The National Bank of Ukraine publishes a discussion paper on the ethical and responsible use of AI by financial services market participants.p.1
- Ukraine currently has no adequate legislative framework for AI regulation, including no dedicated AI law.p.3
- The paper aims to start an open expert discussion on current and future AI use in the financial sector and to collect input for a future White Paper on AI.p.4
- The regulatory framework for AI in finance is described as fragmentary and evolving, with approaches based on proportionality, risk orientation and technological neutrality.p.6
- Clients should have the right to know when AI plays a significant role in decisions about them, to receive explanations and to demand review of automated decisions.p.9
- The central bank expects AI systems to be treated as part of operational infrastructure, consistent with the EU Digital Operational Resilience Act (DORA).p.16
- Work will proceed in stages: publication of the discussion paper, consolidated conclusions, then a White Paper for market participants.p.20
Key insights
- Use of AI in Ukrainian finance is regulated only indirectly, through general financial, civil, information and regulatory law.p.6
- AI governance systems should cover the full life cycle of AI systems, from the decision to use AI through to decommissioning and retention of decision history.p.10
- AI systems should be classified by risk level, and the paper asks whether an EU AI Act style risk categorisation is appropriate for the financial sector.p.11
- Consumers should be informed about AI use where it affects their rights, the terms of a service or access to it, or where it processes personal data.p.12
- Decisions with legal, financial or social consequences should be subject to human oversight and the possibility of human intervention.p.9
- Data used for AI should be sufficient, relevant and regularly reviewed, with bias risks from unrepresentative samples, proxy variables and historical distortions tested for.p.14
- Firms should include AI-related incidents in their general IT incident management and align AI use with business continuity plans.p.16
- The central bank encourages staff training and management involvement to build a culture of responsible AI use.p.18
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