Fairness of algorithms is a subject of great discussion, but an important perspective that’s often missing is about the different types of bias within data that lead to a biased algorithm. Depending on the factors responsible for the bias, different algorithmic solutions would be required to meaningfully mitigate the bias and to bring algorithmic justice and equity.

Himanshi Allahabadi is a software engineer that is passionate about AI and the long term consequences it has on society.

 

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