Context
The field of Artificial intelligence (AI) is experiencing a period of intense progress, due to the consolidation of several key technological enablers such as increased processing power, the growth of data availability and improved algorithms.
AI has become an area of strategic importance and been identified as a potential key driver of economic development as underlined in the European strategy on AI.
Similarly, AI has become a clear target for national governments resulting in the formulation of national AI strategies.
In view of the above, policy makers need quantitative evidence to monitor progress and impact of such policies on a regular basis. While data on different industrial sectors (e.g. ICT) and its R&D are available from various international and national sources, they are often incomplete and not comparable across countries. Moreover they do not reflect the wide spectrum of AI activities in diverse technological and scientific domains and different economic sectors.
Approach
AI Watch offers insights into the AI landscape by monitoring the evolving international industrial and research landscape. The application of the Techno-economic segments (TES) analytical approach maps the segment, monitoring and benchmarking its main players, their locations and R&D and industrial activities. It sheds light on the dynamics of the worldwide networks of stakeholders and technological subdomains, their gatekeepers and expected future champions.
AI Watch works together with EU Member States to gather information on national initiatives on AI, define a common framework to be used to compare all National initiatives and efforts and provide a complete overview of all national plans, measures and strategies related to AI.
AI Watch has also developed a comprehensive methodology to estimate AI investments and applies it to the European economy.
AI Watch carries out research to calculate the EU robotics market shares over the past ten years, by providing a review of the robotics industry, and looking at the official definitions of both industrial and services robots.
Tools
An interactive map to access to country AI strategy reports, AI Landscape and Investment dashboards.
Dashboard presenting estimations of investments in AI in Europe
Interactive dashboard to explore the AI ecosystem
Policy relevant dimensions to assess Europe’s performance in artificial intelligence
News
Emilia Gómez, Team Leader in JRC's Algorithmic Transparency Unit, makes the case for effective and well-evidenced AI regulation in her TEDAI Talk A Musical Approach to AI Regulation.
This science for policy brief explores solutions to such identification and concludes that they should possess the following four properties: efficiency, integrity of data, robustness to content alteration, and protection against manipulation.
JRC Lead Scientist and head of HUMAINT, Emilia Gómez, participated in the online seminar series Machine Learning NeEDS with her keynote "Scientific challenges, practical methodologies and policy perspectives for trustworthy AI".
AI Watch Index featured on Science Business
Policy relevant dimensions to assess Europe’s performance in Artificial Intelligence
What future for European Robotics? Conference report
Collaborations
The Observatory for Artificial Intelligence in Work and Society (or AI Observatory) is looking at the question of what the effects of AI will be on work and society.
AI 4 Belgium is a community-led approach to enable Belgian people and organizations to capture the opportunities of AI while facilitating the ongoing transition responsibly.
The OECD and the AI Watch collaborate on global monitoring and analysis of Artificial Intelligence developments.
The Stanford AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence.