Bias in AI: Are People the Problem or the Solution?

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“All tools contain embedded biases. Bias can be introduced long before the data is examined and at other parts of the process. Meanwhile, one group says people are the problem; the other sees them as the solution.” - John Sumser

 

Bias in AI: Are People the Problem or the Solution?

 

With bias one group assumes that people are the problem; the other sees them as the solution. The human group assumes that people should be the decision makers when lives and careers are affected. The tech group tries to eliminate or bury bias so it can’t be seen. The human group illuminates bias so that people can make the choice. The tech group assumes that things work better when humans are not involved. Meanwhile, bias related technical tools fall into a couple of major categories.

 

The tech group includes:

Assessment tools that ‘reduce or eliminate’ hiring bias Search tools that redact information that can trigger bias Matching tools that improve talent pool diversity Structured interviewing tools that constrain and drive questions

 

The human group includes:

Vendors whose tools illuminate bias in behavior and offer alternative choices.

 

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