Human-artificial intelligence collaboration assigns work according to complementary strengths. Agents can research, draft, compare, monitor, and operate tools, while people define goals, supply context, resolve ambiguity, judge quality, and authorize consequential decisions.
Effective collaboration needs visible state, clear roles, evidence, feedback, and escalation paths. The human should not become a passive approval step, and the agent should not be expected to infer authority or organizational context that has not been explicitly provided.
