Elmer, GregHanley, Maura Kathleen2023-08-042023-08-042023-08-04https://hdl.handle.net/10315/41372This thesis investigates transparency practices related to the governance and communication of the use of artificial intelligence (AI) in the Canadian banking industry through a case study of Canada's five largest banks. By asking how AI and data practices are framed and communicated, what beliefs and values are expressed, and what are the implications for public trust and future policy, this thesis challenges our reliance on transparency as a form of governance. The study employs a multi modal approach, evaluating the content and discourse of key documents and a series of interviews taken with bank executives. The research finds that the banks’ approach to framing and communicating their data governance practices circumscribes their view of potential harms and limits our visibility into how AI is employed. The findings provide insight into potential directions for AI policy and offer a benchmark for future research and regulatory efforts.Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Artificial intelligenceBankingCommunicationBlinded by Transparency: AI Disclosure Practices in the Canadian Financial IndustryElectronic Thesis or Dissertation2023-08-04AIArtificial IntelligenceBankingFinancial industryCanadian bankingCanadian financial industryTransparencyCorporate transparency practicesPerformative transparencyManaged visibilityAI disclosureAnnual reportsPrivacy policiesPrivacy policyData governanceAI governanceModel governanceAlgorithmsResponsible AIExplainable AIBill C-27AI regulationAI policyDiscourse analysisCase studyInterviewsCorporate digital responsibilityAI harmsAI riskRisk managementFintechPolicyRegulationCanadian Artificial Intelligence and Data ActArtificial Intelligence transparencyArtificial Intelligence governanceAI in bankingArtificial Intelligence in banking