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RSSThis 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.
This science for policy report sheds light on the essential competences and governance practices required for the effective adoption and usage of AI in the public sector across Europe.
This Science for Policy brief discusses some of the key characteristics expected from upcoming standards that would support the implementation of the AI Act.
This paper addresses the often overlooked issue of fairness in the autonomous driving domain, particularly in vision-based perception and prediction systems, which play a pivotal role in the overall functioning of Autonomous Vehicles (AVs).
This paper provides an interdisciplinary analysis of the concepts of AI system, general purpose AI system, foundation model and generative AI across the different versions of the AI Act.
This paper presents the results of a large-scale survey (n = 1092) that explored the attitudes and opinions of European Citizens regarding the adoption of socially assistive robots (SARs) for healthcare in the EU.
This report provides an overview of the divinAI project and provides a set of diversity indicators for seven core artificial intelligence (AI) conferences from 2007 to 2023.
A perspective on the availability of higher education offer in the fields of artificial intelligence, high performance computing, cybersecurity, and data science
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.
A collective effort in exploring the applications of Artificial Intelligence and Blockchain in the Public Sector