An approved model does not make an AI system accountable. The consequential behavior emerges from the model's interaction with runtime context, retrieved data, tools, permissions, orchestration rules, and human approval controls. That changes the assurance target. Engineering teams still need model evaluation, dataset documentation, bias testing,... Weiterlesen: Engineering AI Accountability: Control the Execution Path, Not the Model
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Engineering AI Accountability: Control the Execution Path, Not the Model
An approved model does not make an AI system accountable. The consequential behavior emerges from the model's interaction with runtime context, retrieved data,…
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