Liminality

About

Liminality, drawn from anthropology and social theory, refers to a threshold state of in-between-ness — a transitional zone where established categories, boundaries, or identities become ambiguous or unstable. In robotics and AI, liminality describes the unsettling conceptual space occupied by robots, androids, and automated systems that blur conventional distinctions between human and machine, animate and inanimate, tool and agent. A robot that mimics human emotion, performs gender, or engages in social roles traditionally reserved for humans inhabits this liminal territory, existing neither fully as object nor fully as subject. This concept matters because it shapes how humans perceive, interact with, and ethically evaluate robotic systems. When machines occupy liminal positions — as companions, performers, or service workers — they challenge legal frameworks, social norms, and moral reasoning. Understanding liminality helps researchers and engineers anticipate public responses to humanoid robots, design more thoughtful human-robot interactions, and critically examine the cultural assumptions embedded in how intelligent systems are built and deployed.