Algorithms are increasingly involved in systems used to support decision making. They often rely on the analysis of large amounts of personal data to infer correlations or, more generally, to derive information deemed useful to make decisions. In many situations, the impact of the decision on people can be significant: access to credit, employment, medical treatment, judicial sentences, etc. Entrusting algorithmic decision-making to make or to influence such decisions raises a variety of issues differing in nature such as ethical, political, legal, technical, etc.
During this talk I will review the opportunities and risks related to the use of algorithmic decision-making. I will present existing options and solutions to reduce the risks and explain their limitations.