Applying Explainable Artificial Intelligence Models for Understanding Depression Among IT Workers

摘要

Artificial Intelligence (AI) systems are getting better and better as each day goes on, but due to the increased complexity of the models that are being used, we are unable to understand how these decisions are being made by the system. Explainable Artificial Intelligence (XAI) is a subfield of AI that aims to provide intelligible explanations to the end-user. This study evaluates people who are at risk of mental illness and detects early signs of depressive symptoms, using XAI approaches.