In today's healthtech space, there are a lot of innovative solutions that help ease the medical processes. Many of these solutions use machine learning as an essential component. Unfortunately, machine learning models can create their own biases and unfairness.
Equality AI's goal was to find and develop a solution to help solve healthcare's most challenging problems: inequity, bias, and unfairness.
Equality AI's web platform brings human-centred AI & ML solutions and provides a developer-first experience with an end-to-end fairness framework and functionality that can be selectively applied to workflows for fitting models that reduce the risk of biased outcomes.
Equality AI Responsible MLOps provides fairness-based machine learning capabilities for data scientists to develop and collaborate with clinical teams to decrease the risk of discrimination in clinical decision-making algorithms.