Big data algorithms are not valueless. Social goals are inevitably embedded in the process of algorithm development.And it brings new problems such as algorithm bias and even algorithm discrimination at the same time. Algorithm bias is a very hidden intelligent copy of social bias, including the bias in training data, the bias of algorithm designers, and the bias of the algorithm itself. It is necessary to further distinguish algorithm bias and algorithm discrimination, prevent political embedding and capital intervention in algorithm design, and avoid big data algorithms becoming tools for interest groups and power departments to achieve economic, social and even political goals. At the same time, effective algorithmic supervision and review mechanisms should be employed to ensure and promote future social justice through algorithmic justice.

big data  /  algorithm bias  /  algorithmic discrimination  /  value load