FinTrust explores the role of machine learning in banking

The FinTrust project will look at the role of machine learning in banking, particularly in the context of automated lending decisions and whether these lead to bias and financial exclusion.


Are the technologies behind AI-based services worthy of our trust? We invent new technologies, research how people use these and assess the risk of using these technologies.

Fairness & Bias

For people to trust in AI-based services, they must be demonstrably fair. How can we demonstrate such fairness, without opening up the full data set. Our concept of FaaS, Fairness as a Service, takes major strides in that direction.

Financial Exclusion

A major concern for the FinTrust team members is to assure that everyone can benefit from new financial services. We have built a prototype for vulnerable customers to use selective disclosure through verified credentials.

Trust Engineering Toolkit

You can make use of all our research results, be it position papers, software or academic articles. The FinTrust Trust Engineering Toolkit will be curated from our project findings to make these accessible to business and industry stakeholders.

Corporate Digital Responsibility

CDR is a fusion of ethical considerations at the individual and societal level, with recognition that technological change can spawn both utopian and dystopian futures. CDR seeks to find the balance, and guide our progress toward a technological landscape that works for us all.

The third wave recognises that the ethical and social challenges associated with data and AI are inextricably interwoven with broader, long-standing social, political and cultural factors
— Dr Mhairi Aitken, Newcastle University


In pursuit of socially-minded data-intensive innovation in banking: A focus group study of public expectations of digital innovation in banking

While the field of data ethics is increasingly engaging with the complex socio-technical nature of data practices and their impacts, in the private sector, data ethics continues to be pursued largely through limited instrumental measures. This paper addresses the following research question: How can socially-minded data-intensive innovation be pursued in the private sector? It reports the findings of a series of five focus groups to explore the role of public deliberation in informing ethical data practices in banking. The findings indicate that deliberative forms of public engagement present valuable opportunities to incorporate diverse views and perspectives and to enable critical reflection on organisational practices and the trajectory of innovation. We conclude that public engagement is vital to ensure that private sector organisations move beyond “ethics-washing” or tokenistic efforts at Corporate Digital Responsibility (CDR) to meaningfully address public concerns and reflect public values in all innovation processes.

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FinTrust is funded by several organisations, and we collaborate with strategic partners who share interests in the goals of the project.


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