Allocation fairness (AF) equips organisations with the tools to set quotas of positive outcomes obtained by different sensitive groups, for example when banks decide how they should allocate loans to ensure those across different gender, age and ethnic groups are being served fairly.
To fairly allocate, we employ transport methods, that allow for the transportation of a set of source data samples to a set of target samples in a way that gives customers the ability to optimise allocation decisions as necessary.
When algorithms are driving decisions on loan applications or screening for disease there lies a risk of biases within the decisions. Our Allocation Fairness technology allows you to understand and mitigate these whilst serving patients and customers as you deem fair.
Whether it's critical diagnosis, prioritising treatments or managing waiting lists we enable you to allocate resources fairly.
Our technology allows you to ensure you allocate financial services fairly and without bias.