Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective

2026

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This paper explores the strategic integration of non-traditional data and AI into central banking, offering a Canadian perspective on the opportunities and challenges.

* Examines the growing use of AI and non-traditional data in central banking for enhanced policy analysis and operational efficiency.
* Details the Bank of Canada's experience, highlighting critical considerations for responsible AI integration, including innovation, trust, and risk management.
* Outlines a strategic framework for central banks to adopt and leverage AI effectively, balancing technological advancement with institutional prudence.

Tags: Artificial Intelligence, Central Banking, Non-traditional Data, AI Strategy, Canada

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