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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.

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.