agentshuman

Agentshuman is a term used in discussions of human–AI collaboration to describe hybrid systems in which humans and autonomous computational agents coordinate to accomplish tasks. The name is a portmanteau of “agents” and “human,” and it functions more as a descriptive concept than as a formal theory. Because it is not standardized, definitions of agentshuman vary across fields and applications.

In research contexts, agentshuman can refer to architectures that couple human decision-making with automated agents, enabling mixed-initiative control, oversight, and input at key decision points. In practical settings, the term may describe platforms or workflows designed to support decision-making, planning, or task execution by distributing responsibility between people and AI agents.

In fiction and media, agentshuman often appears as a speculative model of augmented cognition or collaborative robotics, exploring how agency is shared, distributed, or contested between humans and machines.

Critical perspectives emphasize governance, accountability, transparency, and privacy, arguing that clear responsibility boundaries are essential when automated agents operate alongside or on behalf of humans. Related concepts include human-in-the-loop, mixed-initiative systems, and collaborative robotics.