Modern Medicines and treatments can be improved with the progression of AI in medicine by discovering new drugs, personalising treatments, and speeding up chemical trials. But if the racial exclusion common in biomedical research seeps into the data behind AI there’s a risk that these medicines won’t be effective for everyone.
New research shows that AI models designed for health care settings can exhibit bias against certain ethnic and gender groups. 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 […]
Read More
Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating existing health inequity argue David Leslie and colleagues Among the most damaging characteristics of the covid-19 pandemic has been its disproportionate effect… A team of medical ethics researchers are arguing that bias and discrimination within AI […]
Read More
By Amber Roguski. This is the second post in a two-part blog series. It explores the under-representation of Minority Ethnic individuals as participants in biomedical research. 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, […]
Read More