ABOUT

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.

Civil
society

Artificial
intelligence

Law
enforcement

NEWS & EVENTS

Save the date: ALIGNER Workshop no. 5 – AI, cybercrime, and cyber security

With the increasing popularity of AI technology, there is a growing concern about how it could be used for malicious purposes and which implications the use of AI by law enforcement might have. For example, ChatGPT has demonstrated remarkable capabilities in natural...

Ethical and Legal Aspects of AI for Law Enforcement

Artificial Intelligence is a double-edged sword that can bring about significant positive change in the justice and home affairs sectors while amplifying and even raising new challenges and risks. To ensure that AI in civil security domain is used for the benefit of...

Dr. Daniel Lückerath

Coordinator

Project Manager, Work Package Lead
(WP1 – Project Management)

Fraunhofer Institute for intelligent Analysis and Information Systems IAIS
Schloss Birlinghoven 1
53757 Sankt Augustin
Germany

PARTNERS

Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Germany (Coordinator)

CBRNE Ltd., United Kingdom

FOI: Totalförsvarets forskningsinstitut, Sweden

Katholieke Universiteit Leuven, Belgium

Gobierno Vasco – Departamento de Seguridad, Spain

Polismyndigheten Swedish Police Authority, Sweden

Bayerisches Staatsministerium des Innern, für Sport und Integration, Germany 

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 101020574.