A healthcare start-up is using Artificial Intelligence (AI) to test the way a person speaks in order to detect Alzheimer’s disease. The algorithm interprets pauses and differences in pronunciations as markers of the disease. The developers used a dataset that contains only speech samples from native English speakers.
Biaswhich arises as a due to a samplingtechnique which gives a portionof the populationa chanceof having higherrepresentation than others gives rise to samplingbias.
The type of biasdescribed in the scenarioexemplifies a samplingbiasbecause the intended population should include alllanguages.
The use of onlynative English speakers for the sampleused to develop the model indicates a samplingbiasas other portion of the populationhave been omitted.
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