Wilfried Hinsch: Differences that make a difference – Statistical profiling and fairness to individuals

Prof. Wilfried Hinsch, as a philosopher, focuses in his presentation on discrimination based on relevant group membership with shared statistical features. Examples that are discussed are relevant features as ‘crime-proneness’ or ‘probability for credit default’; relevant group memberships may be defined in terms of ethnicity, gender, age, social class or place of residence. He argues that discriminating between persons based on statistical information often will be – rationally and morally – objectionable.