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 […]

Building The Race and AI Toolkit

If you are reading this, you have been asked to help contribute to, or test this Race and AI Toolkit. Thank you for taking up the mission! Key facts This Toolkit will be available for free globally as an online resource, and will have other types of elements added, such as: An interactive section similar […]

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.