Automated Malfare - discriminatory effects of welfare automation
An increasing number of countries is implementing algorithmic decision-making and fraud detection systems within their social benefits system. Instead of improving decision fairness and ensuring effective procedures, these systems often reinforce preexisting discriminations and injustices. The talk presents case studies of automation in the welfare systems of the Netherlands, India, Serbia and Denmark, based on research by Amnesty International.