Trust is one of the most fragile and fundamental basis of any interaction. Since prehistoric ages, humans had to decide on whether the place they are in is safe to stay in or not, if the strangers they meet on their way are safe to be around or not, and if the berries they were given by others were safe to eat or not.
In psychology, trust is the willingness to rely on someone or something despite uncertainty. In tech, trust means believing that the system is competent, predictable, aligned with your goals, and transparent about limitations.
When you use a calculator, you expect 2+2 to equal 4. Every single time. That’s deterministic software. That’s the kind of trust we’ve built with traditional tools over decades — press a button, get a predictable result.
AI doesn’t work that way.
AI products deal in probabilities, not certainties.
With AI systems that are ambiguous and often operate like black boxes, trust becomes one of the biggest challenges.