cover image: AI Watch - Artificial Intelligence in public services

20.500.12592/zdgnt0

AI Watch - Artificial Intelligence in public services

2020

This report is published in the context of AI Watch, the European Commission knowledge service to monitor the development, uptake and impact of Artificial Intelligence (AI) for Europe, launched in December 2018 as part of the Coordinated Plan on the Development and Use of AI Made in Europe. The report presents the results of the mapping of the use of AI in support of public services in the EU. The analysis serves to contribute landscaping the current state of the art in the field, and provide a preliminary overview of Member States efforts to integrate AI in their government operations and adopt AI-enabled innovations in the public sector. From the analysis it emerges that the interest on the use of AI within governments to support redesigning governance processes and policy-making mechanisms, as well as to improve public services delivery and engagement with citizens is growing. Governments across the EU are exploring the potential of AI use to improve policy design and evaluation, while reorganising the internal management of public administrations at all levels. Indeed, when used in a responsible way, the combination of new, large data sources with advanced machine learning algorithms could radically improve the operating methods of the public sector, thus paving the way to pro-active public service delivery models and relieving resource constrained organisations from mundane and repetitive tasks.
information society innovation and growth 2020 science for policy

Authors

MISURACA Gianluca, VAN NOORDT Colin

DOI
https://doi.org/10.2760/039619
ISBN
978-92-76-19540-5
ISSN
1831-9424
Other identifiers
EUR 30255 EN,OP KJ-NA-30255-EN-N
Published in
Belgium
Rights Holder
https://ec.europa.eu/info/legal-notice_en#copyright-notice
citation
Misuraca, G. and Van Noordt, C., AI Watch - Artificial Intelligence in public services, EUR 30255 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-19540-5, doi:10.2760/039619, JRC120399.

Tables

All

Related Topics

All