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.

AI reveals differences in appearance of cancer tissue between racial populations

human cells

Artificial Intelligence technologies are being used to understand potential differences in prostate cancer tissues between racial populations; cancer tissues manifest differently in black and white patients. This research is revealing the racial bias in AI systems used to diagnose prostate cancer. Algorithmic models are trained on data from majority white populations, which means that prostate […]

Limiting racial disparities and bias for wearable devices in health science research

report cover

Consumer wearables are devices used for tracking activity, sleep and other health-related outcomes, intended to help people reach their wellness goals. However these wearables are less accurate for people with darker skin tones, this is especially worrying as these devices, and their data are being utilised in health-related research. Since skin tones affect algorithmic output.

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.

Dissecting racial bias in an algorithm used to manage the health of populations

Two graphs

Research article examining racial bias in health algorithms. The research shows that a widely used algorithm, which affects millions of patients, exhibits a significant racial bias. There is evidence that Black patients, who are assigned the same level of risk as white patients by the algorithm, are actually much sicker. This racial discrimination is reducing […]

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 […]

Artificial Intelligence in Healthcare: The Need for Ethics

Speaker Varoon Mathur

The advent of AI promises to revolutionise the way we think about medicine and healthcare, but who do we hold accountable when automated procedures go awry? In this talk, Varoon focuses on the lack of affordable medicines within healthcare and the concerns over racial bias being brought into the healthcare system.

AI, Medicine, and Bias: Diversifying Your Dataset is Not Enough

image of talk title and speaker Rachel, Thomas

Using the example of machine learning in medicine as an example, Rachel Thomas examines examples of racial bias within the AI technologies driving modern-day medicines and treatments. Rachel Thomas argues that whilst the diversity of your data set, and performance of your model across different demographic groups is important, this is only a narrow slice […]

Bias + Artificial Intelligence (in Medicine)

Rachel Thomas speaking

Talk by Rachel Thomas on the prevalence of bias within AI-based technology used in medicine. AI has the potential to remove human biases in the healthcare system, however its integration within medicine could also amplify the existing biases.

Racial Bias in Science and Medicine: Who’s Included?

image of man talking

A short video examining the lack of inclusion within clinical biomedical research, and the consequence this has on the effectiveness of the treatments and medicines for non-white patients. Lack of research on minority patients means that we do not understand the racial differences in drug response, and so approved medical treatments are excluding a huge […]