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Progetto

In an era where drone-related technology is rapidly evolving, PRESERVE emerges as an innovative initiative aimed at enhancing public safety across Europe.

This project introduces a comprehensive Counter-Unmanned Aircraft Systems (C-UAS) platform, specifically designed to support law enforcement agencies in managing threats posed by military-grade unmanned aerial vehicles (UAVs). The solution consists of four key elements: a sophisticated anti-drone arsenal, an advanced online intelligence engine, an integrated management platform, and a specialized training program. What makes PRESERVE unique is its ability to detect, track, and respond to multiple drones simultaneously, while ensuring compliance with EU regulations and privacy standards. CyberEthics Lab. ensures ethical governance throughout the entire research and innovation process. Our expertise guides the development of ethical and regulatory requirements in line with current standards and societal values. Furthermore, CEL will lead the analysis of policy needs in the C-UAS domain, working closely with stakeholders to develop comprehensive policy recommendations that will shape the future of drone threat management in Europe. Developed by a consortium of police authorities, research institutions, and industry experts, PRESERVE represents a significant step forward in protecting public spaces. Through its combination of AI-powered detection, real-time threat assessment, and coordinated response capabilities, the project aims to set new standards in public security while maintaining the delicate balance between safety, privacy, and ethical considerations.
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CyberEthics Lab. Newsletter

CyberEthics Lab. Newsletter was born with the idea of sharing every month, and precisely on the first Monday, some in-depth articles or essays on sensitive or important topics for our society, from the point of view of ethics, technology, philosophy, human rights and social reflection. We want to offer our readers and anyone who is […]

Where the information went

Intellectual property comes in several kinds, and public argument about AI has settled on one of them. Copyright covers expression, which is where the fight over training data has taken place. Patents cover inventions, granting twenty years from filing in exchange for disclosing how the invention works. Trademarks cover the signs that tell a customer […]