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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.
You seem to work from the assumption that women and minorities are more likely to skip out of their bills.
You don't need to "assume" anything. You can just google the data.
Women are less likely to default on their mortgages.
Women are more likely to default on their student loans, partly because their degrees are more likely to be worthless so they earn less.
Blacks and Hispanics are more likely than whites to default on all types of loans.
Asians are less likely than whites to default.
well if the data backs up the claims, its not sexist, or racist
have you seen my sig? there are many others like it but none that are the same