Is Explainable AI Helpful or Harmful?

"Explainable AI (XAI) is a set of methods aimed at making increasingly complex Machine Learning (ML) models understandable by humans". That's how I defined XAI in a previous post where I argued that XAI is both important and extremely difficult to automate. In a nutshell, XAI is crucial for building trust and understanding with (often non-technical) end-users. This empowers the user to actively use and adapt the system. The goal is to create ML-systems with maximal benefits and minimal accidental misuse.