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. What type of bias is present in this example?

An algorithm can be defined as a standard formula or procedures which comprises of set of finite steps or instructions for solving a problem on a computer. The time complexity is a measure of the amount of time required by an algorithm to run till its completion of the task with respect to the length of the input.

An algorithmic bias can be defined as a systematic error or prejudice in a computer algorithm which typically generate outcomes that are unfair or unfavorable and as such giving unparalleled privileges to a demography (users) over the rest users.

In this scenario, 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. Thus, the type of bias that is present in this example is an algorithmic bias.

luisvaschetto luisvaschetto · Answer 2 · 2021-12-28T14:31:09+01:00

The type of bias present in this example is a SAMPLING BIAS.

A sampling bias refers to a bias generated because the collected sample of the target population does not represent the overall population.

Sampling bias can be due to human errors or non-human errors (such as, in this case, IA).

In this case, the sample should ideally include all languages to avoid sampling bias.

In conclusion, the type of bias present in this example is a SAMPLING BIAS.

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