Machine learning algorithms are routinely used for business decisions that may directly affect individuals, for example, because a credit scoring algorithm refuses them a loan. It is then relevant from an ethical (and legal) point of view to ensure that these algorithms do not discriminate based on sensitive attributes (like sex or race), which may occur unwittingly and unknowingly by the operator and the management. Statistical tools and methods are then required to detect and eliminate such potential biases.
翻译:机器学习算法通常用于可能直接影响到个人的商业决策,例如,因为信用评分算法拒绝给他们贷款,从道德(和法律)角度来说,确保这些算法不因敏感属性(如性别或种族)而有所歧视是相关的,操作者和管理层可能无意中无意中和不知情地这样做,然后需要统计工具和方法来发现和消除这种潜在的偏见。