In a new paper, they provide several key recommendations including improving diversity in the AI industry and academia, and developing legislation and regulation to reduce bias in data and the systems that harness them.
While data-driven technologies like AI can be utilised as powerful tools to diagnose and treat diseases such as skin cancer, they could inadvertently worsen the health inequalities experienced by minority ethnic groups if current challenges such as “biased algorithms, poor data collection and a lack of diversity in research and development are not urgently addressed”, the paper said.
The findings were based on reviews of academic literature and policy evidence to identify the issues and opportunities for AI and data-driven technologies to improve the health and care of minority ethnic groups, who generally experience poorer health than the wider population, as emphasised by the Covid-19 pandemic.
The study included interviews with a range...