The key to developing great AI based solutions is having a product or pathway that is built on proportionate and good quality data. By having data that is representative and proportionate, will hopefully mean that we are likely to solve the actual issue or problem the solution is aimed at.
Challenge:
How do we embed “diversity and proportionality” by design principles when building AI products, ensuring that “no-one is left behind”?