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040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn---
0861 |aFB3-8/2026-17E-PDF
1001 |aChapman, James T. E., |eauthor.
24510|aIntegrating non-traditional data and AI into central banking : |ba Canadian perspective / |cJames Chapman, Ajit Desai, Maryam Haghighi, James MacGee.
264 1|a[Ottawa] : |bBank of Canada = Banque du Canada, |cMay 15, 2026.
264 4|c©2026
300 |a1 online resource (31 pages) : |bcharts, illustrations.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aStaff analytical paper = |aDocument analytique du personnel, |x3110-9195 ; |v2026-17
500 |aCover title.
504 |aIncludes bibliographical references.
520 |a"This paper documents the growing use of non-traditional data and AI at the Bank of Canada and their contribution to deeper insight and operational effectiveness. The experience highlights critical considerations for accelerating the responsible integration of AI into central banking functions, including evolving ways of working and career paths, fostering a robust ecosystem for innovation, and addressing emerging risks. A successful AI strategy must balance innovation with trust, transparency, security, reproducibility, sound model governance, data residency, and effective operational risk management"--Abstract, page 1.
650 0|aArtificial intelligence|xFinancial applications|zCanada.
650 0|aBanks and banking, Central|zCanada.
650 6|aIntelligence artificielle|xApplications financières|zCanada.
650 6|aBanques centrales|zCanada.
7102 |aBank of Canada, |eissuing body.
830#0|aStaff analytical paper (Bank of Canada)|x3110-9195 ; |v2026-17.|w(CaOODSP)9.958938
85640|qPDF|s2.20 MB|uhttps://publications.gc.ca/collections/collection_2026/banque-bank-canada/FB3-8-2026-17-eng.pdf