
Building a Scenario-Based Evaluation Set for a Business AI System
Build a reproducible scenario-based evaluation set covering routine work, difficult boundaries, prohibited actions and protected release evidence.
Practical intelligence for accountable AI programmes.
Test usefulness, accuracy, robustness, safety, bias, latency and cost against realistic scenarios.

Build a reproducible scenario-based evaluation set covering routine work, difficult boundaries, prohibited actions and protected release evidence.
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Ten topics covering the full life of an AI programme, from first use case to retirement.