APPRAISE aims to build on the latest advances in big data analysis, artificial intelligence, and advanced visualisation to create an integral security framework that will improve both the cyber/physical security and safety of public spaces by enabling a proactive, integrated, risk-based, and resilience-oriented approach. This framework will be designed to support the secured private-public collaboration and optimise the coordination of operations involving private security staff, private operators, and law enforcement agencies.

AP4AI aims to create a global Framework for AI Accountability for Policing, Security and Justice on determining how to capitalise on the opportunities offered by Artificial Intelligence (AI) and Machine Learning to improve the way investigators, prosecutors, judges or border guards carry out their mission of keeping citizens safe and rendering justice while, at the same time, safeguarding and demonstrating true accountability of AI use towards society.

The world is changing at an unprecedented rate, and AI is at the forefront of this change. While providing numerous benefits, many have raised concerns over the impact AI has or will have on matters such as security. The EU-funded ALIGNER project aims to unite European actors who have concerns about AI, law enforcement and policing to jointly identify and discuss how to enhance Europe's security whereby AI strengthens law enforcement agencies while providing benefits to the public. The project's work will help pave the way for an AI research roadmap.

Use of artificial intelligence (AI) is increasing in a wide range of applications, making it the focus of law enforcement agencies (LEA) concerned with safeguarding privacy and fundamental rights. The EU-funded pop AI project will work to boost trust in AI by increasing awareness and current social engagement, consolidating distinct spheres of knowledge by academics and non-academics, and delivering a unified European view and recommendations. The project will create an ecosystem and the structural basis for a sustainable and inclusive European AI hub for LEA. It will use existing knowledge and extensive studies to identify and document the direct and indirect stakeholders from the security and AI sectors as well as their corresponding views while ensuring equitable gender and diversity representation.