Shared Control

A collaborative approach in which humans actively participate in an AI system's operation by reviewing, approving, correcting, or guiding its decisions or actions, improving accuracy, safety, accountability, and overall system performance.

A collaborative approach in which an AI system operates autonomously while humans supervise its behavior, monitor outcomes, and intervene only when necessary to correct, override, or stop its decisions or actions.

The practice of monitoring, reviewing, and governing an AI system's decisions, actions, and outputs by human operators to ensure safety, accuracy, compliance, accountability, and appropriate intervention when necessary.

Information, evaluations, corrections, or preferences provided by human users or reviewers about an AI system's outputs or behavior, which can be used to improve model performance, refine prompts, optimize workflows, or guide future decisions.

An approach to autonomy where an AI system operates independently only within predefined goals, constraints, permissions, or safety limits.

A level of autonomy in which an AI agent is authorized by a human or another system to make decisions and execute tasks within predefined goals, permissions, and constraints.