Google aims to prevent machine learning discrimination (with the possible exception of age)

The ethical intent of machine learning is ‘fairness through unawareness’ – the same merit-based approach which, in many countries, means that employers may not ask a potential employee’s gender, religion or race, but should instead evaluate them on their relevant skills for the post. If the information that a loan applicant is female is not included in the data set, the application should be judged without including that information. However, this is a flawed answer, as gender can be inferred from other data factors which are included: for example, if the applicant is a single parent, and 82% of single parents are female, there is a high probability that the applicant is female. This is called ‘redundant encoding’ – even if a specific data marker is not included in the…


Link to Full Article: Google aims to prevent machine learning discrimination (with the possible exception of age)