AI projects rarely fail on technology or data, but skepticism. Matthias Göbel shows how to build trust where mistrust reigns and facts alone fall short. He shows real word examples concrete principles for turning skepticism into acceptance. Your last AI project that stalled: who didn’t come along, and why? Which skepticism toward your AI work is actually justified — and what does it teach you? What would make you not just sound more convincing, but act more trustworthy?