How an Algorithm Blocked Kidney Transplants to Black Patients

X-ray with kidneys highlighted

An algorithm used in the US supposed to estimate kidney function, the severity of the disease and allocation of kidney transplants, is found to be racially skewed, under-allocating necessary resources to black patients. A study demonstrates that the algorithm took an individual’s race into account, meaning that they were not offered a kidney transplant when […]

Google’s AI for mammograms doesn’t account for racial differences

2 mammograms side by side each with a yellow box highlighting where an AI system has found cancerous cells

A short article examining Google’s new AI for mammograms. It has hopes of replacing human radiologists with faster and more accurate diagnosis. However, there are worries over its accuracy in spotting cancer in diverse racial and ethnic populations, both due to white focused data sets and inherent biases within the healthcare system.

Studies find bias in AI models that recommend treatments and diagnose diseases

human hand pointing to a chest x-ray

Machine learning models for healthcare hold promise in improving medical treatments by improving predictions of care and mortality, however their black box nature, and bias in training data sets leaves them vulnerable to instead hinder the effectiveness of critical care. This article explores various research studies to explore bias within AI healthcare technologies.

New Study Blames Algorithm For Racial Discrimination

White doctor and black patient

This article examines a tool created by Optum, which was designed to identify high-risk patients with untreated chronic diseases, in order to redistribute medical resources to those who need them most. Research has shown this algorithm to be biased; it was less likely to admit black people than white people who were equally sick to […]

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?

Diagram about bias in AI

A team of medical ethics researchers are arguing that bias and discrimination within AI design and deployment risk exacerbating existing health inequity. The Covid-19 pandemic has disproportionately affected disadvantaged communities, and the uncritical deployment of AI in the fight against covid-19 risks amplifying the pandemics adverse effects on vulnerable groups by exhibiting racial biases. Although […]

‘Objective’ Science and White Bias: BAME Under-Representation in Biomedical Research (Part 2)

Multicoloured strips

This article explores racial bias and exclusion within biomedical research. White People are 87% more likely to be included in medical research than people from a Minority Ethnic Background, this is down to institutional racism which exacerbates under-representation of Minority Ethnic researchers. This racial exclusion skews our understanding of health and disease to represent White […]

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.

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) […]