Don’t blame the AI, it’s the humans who are biased.

Bias in AI programming, both conscious and unconscious, is an issue of concern raised by scholars, the public, and the media alike. Given the implications of usage in hiring, credit, social benefits, policing, and legal decisions[1], they have good reason to be. AI bias occurs when a computer algorithm makes prejudiced decisions based on data and/or programming rules. The problem of bias is not only with coding (or programming), but also with the datasets that are used to train AI algorithms, in what some call the “discrimination feedback loop[2].”