Publications

Artificial Intelligence and Deep Learning are increasingly being used to support the prevention, diagnosis, and follow-up of non-communicable diseases, helping to ease the burden on under-resourced healthcare systems.

The Joint Research Centre has developed a methodology to assess the relative impact of AI on occupations. It is based on a mapping between the amount of research in AI and occupations, linking them through cognitive abilities and work tasks.

Generative AI is increasingly affecting our society. Our health and education systems, science, public administration and industrial ecosystems are progressively adopting this technology. A new JRC study provides policy makers with insights to address its risks and opportunities.

This policy brief aims to examine the current usage, possible benefits, challenges and future prospects for the use of generative AI in the public sector.

This science for policy report analyses a survey conducted among 574 public managers across seven EU countries, identifying what are currently the main drivers of AI adoption and providing 3 key recommendations to practitioners.

This science for policy report sheds light on the essential competences and governance practices required for the effective adoption and usage of AI in the public sector across Europe.

This Science for Policy brief discusses some of the key characteristics expected from upcoming standards that would support the implementation of the AI Act.

This paper addresses the often overlooked issue of fairness in the autonomous driving domain, particularly in vision-based perception and prediction systems, which play a pivotal role in the overall functioning of Autonomous Vehicles (AVs).

This paper provides an interdisciplinary analysis of the concepts of AI system, general purpose AI system, foundation model and generative AI across the different versions of the AI Act.