Publications

This report is based on the EC-OECD database of national AI policies, validated by Member States’ representatives, and it demonstrates the importance of working closely with relevant stakeholders to share lessons learned, good practices and challenges when shaping AI policies.

The widespread use of experimental benchmarks in AI research has created competition and collaboration dynamics that are still poorly understood. This paper provides an innovative methodology to explore these dynamics and analyse the way different entrants in these challenges behave and react.

The present study surveys the ongoing standardization activities on AI carried out by ESOs (European Standards Organizations) and international Standards Development Organizations (SDOs).

This report presents the main conclusions that emerged from the conference, “What future for European Robotics?”, that brought together specialists from industry, academia and policy.

The AI Watch Index presented in this report provides a structured set of indicators to understand the performance and positioning of the EU in artificial intelligence (AI), in quantitative terms.

This report summarizes the evolution of AI, it introduces the “seasons” of AI development (i.e. winters for the decline and springs for the growth), describes the current rise of interest in AI, and concludes with the uncertainty on the future of AI.

This document describes an exemplar-based methodology to categorise and assess several AI research and development technologies, by mapping them into Technology Readiness Levels (TRL) (e.g., maturity and availability levels).

Modernising the public sector with the help of digital technologies can help Europe emerge stronger and more resilient from the current crisis. Our research identified 12 recommendations for how policy makers, public sector managers, and civil servants can help make this a reality.

This study estimates the supply and demand of university places for studies covering the technological domains of Artificial Intelligence (AI), High Performance Computing (HPC), Cybersecurity (CS) and Data Science (DS), in the EU27, United Kingdom and Norway.