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The JRC unit on algorithmic transparency is looking a researcher to join our team! Apply by 17 April.

A new paper titled “The science and practice of proportionality in AI risk evaluations” , co-authored by the AI Office and the JRC has been published in Science.

New JRC study across five EU countries reveals emerging uses, benefits and risks of GenAI in schools.
Latest publications

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.









