Google Research Promotes Equality In Machine Learning, Doesn’t Mention Age



An anonymous reader writes: New research from Google Brain examines the problem of ‘prejudice by inference’ in supervised learning — the syndrome by which ‘fairness through unawareness’ can fail; for example, when the information that a loan applicant is female is not included in the data set, but gender can be inferred from other data factors which are included, such as whether the applicant is a single parent. Since 82% of single parents are female, there is a high probability that the applicant is female. The proposed framework shifts the cost of poor predictions to the decision-maker, who is responsible for investing in the accuracy of their prediction systems. Though Google Brain’s proposals aim to reduce or eliminate inadvertent prejudice on the basis of race, religion or gender, it is interesting to note that it makes no mention of age prejudice — currently a subject of some interest to Google.

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