Human-AI Collaboration Vocabulary

a system design where humans review and approve AI decisions

“Human-in-the-loop review catches AI mistakes before they affect customers.”

matching AI independence level to task clarity and risk

“High-stakes medical decisions need lower AI autonomy than email drafting.”

progressively improving outputs through cycles of generation and feedback

“Iterative refinement turned the rough draft into a polished article over three rounds.”

collaboration where humans verify AI outputs and AI explains its reasoning

“Verification partnership caught the hallucinated statistics before publication.”

breaking complex problems into smaller subtasks for AI to handle sequentially

“Task decomposition let us verify each step of the analysis independently.”

using the output of one prompt as input to another in sequence

“Prompt chaining: first generate ideas, then evaluate them, then develop the best one.”

providing structure and support to guide AI toward better outputs

“Scaffolding with a template improved the consistency of generated reports.”

transferring work between human and AI phases with clear documentation

“The handoff point included a summary of decisions made and open questions.”

a cycle where outputs inform adjustments to improve future outputs

“The feedback loop of user ratings improved response quality over time.”

delegating mental tasks to AI to free human cognitive resources

“Cognitive offloading of routine summarization let analysts focus on strategic thinking.”