Spot the missing human context
Identify the missing human context that makes an AI recommendation unsafe to accept as-is.
The output is polished. The missing context is not. Find the biggest human-AI teaming risk before the team acts on the recommendation. The empty chair for the customer-facing teammate with recent call context Yes. Complementarity depends on information asymmetry. The missing support voice may hold evidence the model never saw. The projected AI summary at the front of the room The summary needs scrutiny, but the deeper issue is the absent human evidence that could challenge it. The printed charts scattered on the table Messy charts are not the core risk. The data can be organized and still miss lived…
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