Right now, many of us come at AI from within our own silos and that’s holding us back. We need to approach AI in a multidisciplinary way because the brain itself is a bundle of interdependent elements which support thinking and behavior that’s describable on many different levels. To accelerate our understanding of human cognition, neuroscientists, linguists, psychologists, philosophers, anthropologists, deep learning experts and others need to come together. All these questions about creativity and aesthetics and various sorts of thinking and behaving, they all in the end boil down to questions about information processing, and that’s why they are all so closely linked.
In some ways, we need to get back to our roots. When AI was just getting going there were these eclectic, provocative conferences where people from all different areas would come and learn. As is the way of things, we began to specialize over time and interdisciplinarity decreased. To catalyze discovery, we need to re-embrace that eclecticism and variety and collaborate more closely.