Research

The Centre for Finance and Responsible Technology (CFRT) addresses a single question:

When algorithms shape financial decisions, what does the evidence justify?

Finance depends on information and trust. We test information quality and whether trust is earned through econometric inference and statistical learning, with machine-learning methods evaluated against interpretable baselines. Governance and assurance provide the evaluative lens, not a parallel theme.

Research strands

Established

Financial crime and anti-money-laundering systems

Two Collaborative Doctoral Partnerships: Pytilia on financial-crime detection, Napier AI on AML investigator training.

Developing

Corporate innovation and financial disclosure

Patent text, corporate disclosure and financial narratives, measured as evidence rather than taken as model output. Anchored by one funded doctoral project using patent text as financial evidence.

Emerging

Investment decisions and portfolio construction

The Director’s published work on large-scale portfolio selection (IEEE Transactions on Evolutionary Computation, 2024) and related working-paper pipeline provide a starting point. This is not yet a Centre programme and is open to colleagues who want to shape it.