GDPR Feasibility and Algorithmic Non-Statutory Discrimination

Automation has proven to be capable of producing extremely positive results in terms of increased efficiency and speed in deci-sion-making, but it often conceals the risk of discrimination. Dis-criminatory practices may affect new types of groups, identified through inferential association, that do not correspond to histor-ically protected grounds. Where anti-discrimination law does not reach, data protection law may. Based on an analytical examination of the legal provisions and a comparison with the positions of le-gal scholars and the European Court of Justice case-law, the study examines whether the GDPR provides effective tools to counter algorithmic discriminations based on unprotected attributes