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) […]

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.

AI Perpetuating Human Bias in the Lending Space

person holding out a handful of coins

There is data which predicts that the introduction of AI into the financial system will bring with it increased racial bias and discrimination. Through a case study of mortgage applications, this article shows how bias might be introduced to AI systems by either 1. bias within historical data, and 2. inherent biases of AI programmers […]

Google hired Timnit Gebru to be an outspoken critic of unethical AI. Then she was fired for it.

Google logo on a building

This article argues that leading AI ethics researchers, such as Timnit Gebru, are often promised total academic freedom when recruited or interviewed for in-house roles at technology companies. However, internal roadblocks, lack of employee diversity, and hierarchical issues limit the impact of this research which aims to promote equity, fairness, and accountability in AI products. […]