Consumer Data Privacy Risk Analysis and Management in the Open Banking Era. This project aims to address privacy issues in current Open Banking adoption using Bayesian learning techniques that quantit

Description

Consumer Data Privacy Risk Analysis and Management in the Open Banking Era. This project aims to address privacy issues in current Open Banking adoption using Bayesian learning techniques that quantitatively analyse privacy risks and propose scenario-based risk mitigation strategies. The expected outcomes include advancing the theoretical knowledge base in privacy risk assessment and mitigation for open finance, and new guidelines for establishing explicit and well-informed consumer consent in digital financial service platforms. The project findings are expected to significantly enhance ethical and responsible digital financial service offerings, strengthen consumers' privacy awareness and well-grained data controls, and foster the development of privacy regulation in digital finance and the open data economy.. Scheme: Discovery Projects. Field: 3502 - Banking, Finance and Investment. Lead: Prof Tom Smith