Intelligence artificielle et mégadonnées

Artificial intelligence is everywhere and affects everyone – from deciding what content people see on their social media feeds to determining who will receive state benefits. AI technologies are typically based on algorithms that make predictions to support or even fully automate decision-making.

Le rapport de la FRA consacré à l’intelligence artificielle et aux droits fondamentaux présente des exemples concrets de la manière dont les entreprises et les administrations publiques de l’UE utilisent ou tentent d’utiliser l’IA.

Artificial intelligence (AI) already plays a role in deciding what unemployment benefits someone gets, where a burglary is likely to take place, whether someone is at risk of cancer, or who sees that catchy advertisement for low mortgage rates. Its use keeps growing, presenting seemingly endless possibilities. But we need to make sure to fully uphold fundamental rights standards when using AI. This report presents concrete examples of how companies and public administrations in the EU are using, or trying to use, AI. It focuses on four core areas – social benefits, predictive policing, health services and targeted advertising.

La technologie de reconnaissance faciale permet de comparer des images faciales numériques afin de déterminer s’il s’agit d’une seule et même personne. La comparaison d’images obtenues à partir
de caméras vidéo avec des images stockées dans des bases de données est appelée «technologie de reconnaissance faciale en temps réel». Les exemples d’autorités répressives nationales de l’Union européenne (UE) utilisant cette technologie sont rares, mais plusieurs d’entre elles testent actuellement son potentiel. Le présent document examine donc les implications en matière de droits fondamentaux de l’utilisation de la technologie de reconnaissance faciale en temps réel, en mettant l’accent sur son utilisation à des fins répressives et de gestion des frontières.

Algorithms used in machine learning systems and artificial intelligence (AI) can only be as good as the data used for their development. High quality data are essential for high quality algorithms. Yet, the call for high quality data in discussions around AI often remains without any further specifications and guidance as to what this actually means.

We live in a world of big data, where technological developments in the area of machine learning and artificial intelligence have changed the way we live. Decisions and processes concerning everyday life are increasingly automated, based on data. This affects fundamental rights in various ways. This focus paper specifically deals with discrimination, a fundamental rights area particularly affected by technological developments.