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.

Intelligence Unleashed – An argument for education

This research paper gives arguments for how AI can benefit our education system. It argues that AI can support teachers in giving children the best education whilst not taking away from the humanity of it. AI can be beneficial in aspects such as online tutoring, collaborative learning, and tackling achievement gaps. While it does not […]

Racist Robots? How AI bias may put financial firms at risk

Through a case study of mortgage applications, this article shows how bias might be introduced to AI systems by either bias within historical data, and/or inherent biases of AI programmers and employers. This article gives reasons why this presents a risk to businesses in terms of missing out on customers (refusing credit to creditworthy people) […]

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

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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 […]