Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective Staff analytical paper 2026-17 James Chapman, Ajit Desai, Maryam Haghighi, James (Jim) C. MacGee This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience. Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C4, C45, C5, C55, C8, C88, L, L2, L23, M, M1, M15, O, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation, Money and payments, Payment and financial market infrastructures