Humanartificial

Humanartificial is a term used in academic and popular discourse to describe the increasing integration and mutual dependence of human beings and artificial systems. It denotes the space where human capabilities—cognition, perception, motor function, and decision-making—are extended, augmented, or complemented by machines, algorithms, and robotic agents. The concept covers a broad range of technologies and practices, including artificial intelligence, robotics, brain-computer interfaces, neuroprosthetics, wearable sensors, and intelligent environments, as well as collaborative workflows in which humans and machines share control and decision responsibilities.

In practice, humanartificial research and application often centers on two intertwined aims: augmentation, which enhances or restores human function through devices and interfaces; and collaboration, where AI systems support human judgment and co-create outcomes. The term is used differently across disciplines, and there is no single consensus on its exact boundaries.

Examples include brain-computer interfaces enabling control of prosthetic limbs, neuroprosthetics that restore sensory function, AI-powered diagnostic and decision-support tools, and intelligent assistive devices that adapt to user needs in daily life and work. The field spans medical, industrial, educational, and creative contexts, emphasizing both practical enhancement and cooperative intelligence between humans and machines.

Ethics and governance concerns include autonomy, privacy, safety, accountability, bias in AI, equity of access, and long-term societal impacts. Proponents point to expanded capabilities and improved quality of life; critics warn of dependence, potential erosion of human agency, and widening disparities. See also: human-computer interaction; cybernetics; transhumanism; AI ethics; robotics.