Autonomous technology will increasingly permeate our lives in the coming decades. As artificial intelligence continues advancing, and autonomous agents are projected to transform many aspects of society and business. While this progression holds promise, it also necessitates adaptation. By staying attuned to emerging autonomous trends, we can navigate changes thoughtfully.
The concept of explainable AI (XAI) first emerged in parallel with the concept of artificial intelligence, dating back to the 60s. Early expert systems, for instance, were designed to replicate reasoning processes that were transparent to the user. It is only in the relative recent that the inner workings and logic of artificial intelligence have become so opaque as to be unknowable to human operators. The overall architecture may be know, but the inner workings a mystery.