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Integrating non-traditional data and AI into central banking : a Canadian perspective / James Chapman, Ajit Desai, Maryam Haghighi, James MacGee.FB3-8/2026-17E-PDF

"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.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.962951&sl=0

Publication information
Department/Agency
  • Bank of Canada, issuing body.
TitleIntegrating non-traditional data and AI into central banking : a Canadian perspective / James Chapman, Ajit Desai, Maryam Haghighi, James MacGee.
Series title
  • Staff analytical paper = Document analytique du personnel, 3110-9195 ; 2026-17
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
Note(s)
  • Cover title.
  • Includes bibliographical references.
Publishing information
  • [Ottawa] : Bank of Canada = Banque du Canada, May 15, 2026.
  • ©2026
Author / Contributor
  • Chapman, James T. E., author.
Description1 online resource (31 pages) : charts, illustrations.
Catalogue number
  • FB3-8/2026-17E-PDF
Subject terms
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