The philosopher Wilfried Hinsch focuses on statistical discrimination by means of computational profiling. He defines statistical profiling as an estimate of what individuals will do by considering the group of people they can be assigned to. The author explores which criteria of fairness and justice are appropriate for the assessment of computational profiling. According to Hinsch, grounds of discrimination such as gender or ethnicity do not explain when or why it is wrong to discriminate. Thus, Hinsch argues that discrimination constitutes a rule-guided social practice that imposes unreasonable burdens on specific people. He argues that, on the one hand, statistical profiling is a part of human nature and not by itself wrongful discrimination. However, on the other hand, even statistically correct profiles can be unacceptable considering reasons of procedural fairness or substantive justice. Because of this, Hinsch suggests a fairness index for profiles to determine procedural fairness; and argues that because AI systems do not rely on human stereotypes or rather limited data, computational profiling may be a better safeguard of fairness than humans.