Understanding AI bias in banking

AI systems could unfairly decline new bank account applications, block payments and credit cards, deny loans, and other vital financial services and products to qualified customers because of how their data is treated or labeled.

Black Loans Matter: fighting bias for AI fairness in lending

A detailed summary of research by Mark Weber, Mikhail Yurochkin, Sherif Botros and Vanio Markov, breaking down the lack of racial justice in the current US financial system which leads to the loss of the right to financial security, along with examination of solutions.

Unmasking Facial Recognition | WebRoots Democracy Festival

still of video

This video is an in depth panel discussion of the issues uncovered in the ‘Unmasking Facial Recognition’ report from WebRootsDemocracy. This report found that facial recognition technology use is likely to exacerbate racist outcomes in policing and revealed that London’s Metropolitan Police failed to carry out an Equality Impact Assessment before trialling the technology at […]

Algorithms and bias: What lenders need to know

a mass of people

Explains (from a US perspective) how the development of machine learning and algorithms has left financial services at risk of exacerbating biases. Using the example of lending, the article explains how algorithms incorporate biases into our systems, and what organisations can do to limit risk, particularly from a legal perspective.

Access to Bank Accounts, Loans and Mortgages

Algorithms can be used to decide when to withhold loans, mortgages and even bank accounts, on the basis of who is likely to make money for the bank. Minority ethnic groups can be disproportionately disadvantaged within these prediction systems by being determined as not meeting the criteria for lending, even when others with the same financial status get approved.

Artificial Intelligence & Climate Change: Supplementary Impact Report

Oxford Foundry logo

This report provides an overview of AI and Climate Change with considerations for AI Climate Solutions. It discusses values-based climate communication and the difference between climate engagement and climate manipulation. A good source on localising climate visualisation, and how AI has been utilised to do this (including the risks).