XAI, or explainable AI, is a subset of artificial intelligence which focuses on making machine learning models transparent and understandable to humans. This is done by providing interpretable explanations of how those models make their decisions. At Solvice, we strongly believe in incorporating XAI into our solution from the core, which we call our White Box philosophy.
Our White Box philosophy is also reflected in the way we build our API. We ensure that our API is designed with simplicity and flexibility in mind so that humans can easily understand and use it. On top of that we also provide feedback loops that allow users to understand how their actions impact the system and how the system responds to those actions. These take shape in an additional endpoint (next to the solution endpoint): explanation, where content is provided that can be shared with end users and that explains what the impact would be if an alternative solutions was chosen.
This enables users to make informed decisions and achieve better results.