Aggregated Intelligence
The case for measuring human-machine collaboration independently while it can still be seen
The intelligence that determines an organization’s outcomes is not its people alone, and not its models alone — it is the two working together, well or badly. Aggregated Intelligence is the collective output of different intelligences working toward a clear intent. This brief argues that it can be measured, but only a measure independent of the tools it scores can be trusted, and that the window to baseline the collaboration is open now and narrowing.