Shared worlds, shared minds

Abstract

This article explores the training of embodied AI systems and robots through engagement with physical and social environments, drawing parallels with living organisms. We examine key challenges in developing embodied AI systems that learn through prediction, interaction and modification of their environments and discuss the societal implications.