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This report examines future pathways for advancing the adoption of AI in public administrations, building on the policy direction outlined in the European Commission’s Apply AI strategy.

This brief traces the path that led to the current EU approach to AI policy, characterised by a comprehensive governance framework and a set of concrete instruments covering regulation, capability-building and AI adoption.

A Science for Policy, European Perspective

An analysis through online job advertisements and education and training offer

Insights from the first generation of EDIHs
AI benchmarks have emerged as essential for evaluating AI performance, capabilities, and risks. This paper summarises the results of an interdisciplinary meta-review of approximately 110 studies over the last decade, which identify key shortcomings in AI benchmarking practices.
This study aims to comprehensively explore the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and their impact on testing procedures.

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.