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A practical way to evaluate AI in workforce operations.

Judge a proposed feature by its purpose, evidence and review process.

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Photo: Jakub Żerdzicki / Unsplash · Stock photography

Define a specific task

Begin with an operational problem, such as a queue of attendance exceptions. Describe the inputs and the decision a person needs to make. An AI label is not a specification of how the feature behaves.

Look at errors

Evaluate representative conditions and review false matches, missed events and incomplete records. A headline accuracy figure is not sufficient without the test conditions and measurement method.

Keep responsibility clear

Identify who reviews an output and how a worker can challenge an incorrect record. A recommendation or flag should retain enough context for a person to assess it.

Pilot and measure

Use an agreed trial scope and relevant measures before expanding. Document limitations, training needs and privacy considerations. This article makes no claim that every AI feature described elsewhere is available in Glidesk.

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