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Peter van de Crommert

Advisor EU Innovation projects, Netherlands Police

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Director Strategy & Innovations, Dutch Institute for Safe & Secure Spaces

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RESEARCH AND INNOVATION SYMPOSIUM FOR EUROPEAN SECURITY AND DEFENSE 2023 | MAY 29TH – MAY 31ST | RODES, GREECE

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STARLIGHT MAIN AMBITION

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  • Build a community that can promote a human-centric approach to AI for security that is: responsible, explainable, trustworth and accountable to bring AI into operational practices.

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  • Implementation of LEA-centric AI based solutions with a coherent data strategy for the safety and security of our society

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�KEY FACTS

  • Coordinator: CEA (France)
  • Start Date: October 2021
  • Duration: 48 months
  • 51 Partners
  • 18 Countries, 14 LEAs
  • Call: H2020-SU-AI02-2020

Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence

  • Type: Innovation Action
  • Budget: €18.8m

https://starlight-h2020.eu

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STARLIGHT PARTNERS

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https://starlight-h2020.eu

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EXPECTED BENEFITS FOR LEAS

  • Address the demand for new operational capabilities powered by AI in the fight against crime and terrorism.
  • Identify, map and categorise the EU LEAs needs and priorities in order to be able to guide the project development cycle.
  • Help gain access to novel AI-technologies relevant to LEA work.

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LEA IMPACT

  • LEAs engagement To make sure the AI tools meet the needs of modern-day operational law enforcement
  • Increasing uptake and innovation capacity of LEAs
  • skills and knowledge building with training environment for LEAs partners by using innovative AI tools
  • Building an ecosystem for AI technologies experimentation and solutions development, open source and free access, to STARLIGHT’s partners and later for all MS LEAs

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STARLIGHT CONCEPT

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THE BEST OF BOTH WORLDS: STARLIGHT CODEV METHODOLOGY

  • Continues involvement and collaboration between Technical and operational skilled partners
  • The STARLIGHT CODEV methodology is based on a mix of the well-known AGILE and SCRUM methodology.
  • Six CODEV cycles with average of 5 STARLIGHT co-development teams to develop the identified and prioritize functionalities
  • Each team and cycle covers one described functionality and delivers a AI-based function that has been tested and approved in a operational pilot by LEA end users.

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https://starlight-h2020.eu

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CODEV CYCLE 1 CODEV CYCLE 2�(OCT 2022- MARCH 2023) (APRIL 2023 – OCTOBER 2023)

ID

Title

ID01

Detection of mis-information

ID02

Detection and classification of objects and logos

ID04

Predicting migration movements based on open and intelligence sources

ID05

Log analysis to identify hacker source and compromised accounts

ID19

Prediction and alerts for changes of movement of suspects

ID

Title

ID06

Processing and categorisation of huge amount of data (such as encrochat)

ID07

Object and subject detection in multiple videos and images or text search

ID11

Identify a single profile based on same language used on different platforms with the different monikers/usernames/etc.

ID13

Speaker identification and clustering

ID21

Detect and identify abnormal behaviour, movements in crowds

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STARLIGHT CO-DEVELOPEMENT METHODOLOGY

6M

Working group:

  • Leading team: LEA, TECH
  • + other LEAs & TECHs
  • Support team: ENG, EUROPOL, KEMEA

Mission

preparation

Pilot demo

user eval in

operational env

Lead TECH

« solutions »

Feed-backs

Lead LEA

Solution

Co-dev

1st tool evaluation

  • all interested LEAs
  • All involved TECHs
  • Ethics & legal partners

Solution

Adaptation

3 days

4 months

1.5 months

3 days

3 days

https://starlight-h2020.eu

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STARLIGHT CODEV VALUES �(BASED ON AGILE MANIFESTO)

  1. Working software over comprehensive documentation/Deliverables
  2. LEA end-user collaboration over contract/DoA negotiation
  3. Responding to changes/new insights over following a plan

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https://starlight-h2020.eu

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STARLIGHT: MACRO-RESULTS

  • European AI for LEA Community, bringing together heterogeneous relevant stakeholders of the security and AI domains
  • Strategy for creating high-quality European Training/Testing Datasets, including novel technological solutions for datasets creation and annotation, privacy preserving in training and testing AI tools and benchmarking, taking also into account all legal and ethical aspects
  • STARLIGHT Framework for trustworthy, accountable, responsible and transparent LEA AI solutions
  • AI-based cybersecurity and protection of LEA AI solutions
  • Pilot Scenarios tailored to real operational needs

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ACKNOWLEDGEMENT

The work presented in this paper received funding from the European Commission, under the call H2020-SU-AI-2020 entitled STARLIGHT Project under Grant Agreement number 101021797

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https://starlight-h2020.eu

Petervandecrommert@disss.eu

RESEARCH AND INNOVATION SYMPOSIUM FOR EUROPEAN SECURITY AND DEFENSE 2023 | MAY 29TH – MAY 31ST | RODES, GREECE

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