Addressing the Problem Together
This project will develop standards that ensure datasets for training and testing AI systems are diverse, inclusive, and promote AI generalisability.
Patients, public, health professionals, researchers, ethicists and policy-makers will work together to agree what the essential criteria for datasets should be: both who is represented (dataset composition) and how this information is provided (dataset reporting). We will develop new recommendations for AI datasets, to help gatekeepers (regulators, commissioners, policy-makers and health data institutions) assess whether datasets and the algorithms developed by them are suitable for the target population. This means we will have better datasets for development and testing of AI and, and in the long-term, better health outcomes for all, and in particular minoritised populations.
By getting the data foundation right, STANDING Together ensures that 'no-one is left behind' as we seek to unlock the benefits of AI in healthcare.