Abstract

The expected benefits of Algorithmic Decision Systems (ADS) may be offset by the variety of risks for individuals (discrimination, unfair practices, loss of autonomy, etc.), the economy (unfair practices, limited access to markets, etc.) and society as a whole (manipulation, threat to democracy, etc.).
We present existing options to reduce the risks related to ADS and explain their limitations. We sketch some recommendations to overcome these limitations to be able to benefit from the tremendous possibilities of ADS while limiting the risks related to their use.
Beyond providing an up-to-date and systematic review of the situation, the report gives a precise definition of a number of key terms and an analysis of their differences. The main focus of the report is the technical aspects of ADS.
However, other legal, ethical and social dimensions are considered to broaden the discussion.