Define an AI benchmark around the task, context, users, and risk rather than around a model leaderboard.
The trap A leaderboard answer is tempting because it feels objective. But an AI benchmark that starts with the model often inherits somebody else's task definition. The move Use the NIST AI RMF sequence: map the context, then measure the claim, then manage the decision. In benchmarking language, define the job first: user, input, output, downstream decision, and failure consequence. What changes Generic benchmark: Which model is best at summarization? Job benchmark: Which model creates escalation-ready summaries for billing tickets without dropping promises, policy exceptions, or threats? Visual read 38,000 monthly tickets 4 risk slices 1 benchmark claim before model…
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