The launch of STARLIGHT (Sustainable Autonomy and Resilience for LEAs using AI against High priority Threats) was officially marked the 6th and 7th October 2021 at a kick-off meeting held in Paris, France.
STARLIGHT is a four-year collaborative innovation project coordinated by CEA (The French Alternative Energies and Atomic Energy Commission) that aims to improve the widespread understanding of legal and ethical usage of AI across law enforcement agencies, reinforcing their investigative and cybersecurity operations and helping them to combat the misuse of AI-supported crime and terrorism.
For the next four years, 52 partners representing 18 European countries, including 15 LEAs from 13 countries, will be working together to develop a new sustainable community. They will build a cohesive and strategic landscape that delivers interoperable and trustworthy AI solutions that uphold ethical and societal values to tackle high priority threats for all LEAs across Europe.
The partners designed STARLIGHT to build capabilities and capacities in AI within LEAs, but also within research and industry organizations who support LEAs.
“Our main goal is to enhance the EU’s strategic autonomy in the field of AI for LEAs. To do so, we will create more effective and efficient collaboration channels between EU Agencies, LEA, research organizations, small and medium enterprises and other business actors. Thus, we will improve the global European response to criminal threats and contribute to the establishment of a strong EU AI-based security industry” says Dr Nizar Touleimat, from CEA.
The main outcomes expected from this ambitious project are:
STARLIGHT has a duration of 48 months, starting from the 1st of October 2021, and a total budget of 18.8 million euros, of which 17.0 million euros funded by the European Union.
Contact: starlight@cea.fr
For more information about the STARLIGHT project, visit https://cordis.europa.eu/project/id/101021797 or @Starlight_H2020 on Twitter.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101021797
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