Artificial Intelligence From a LEA perspective Oscar Wijsman Business Expert Intelligence Netherlands Police @oscarwijsman
Artificial Intelligence
From a LEA perspective
Oscar Wijsman
Business Expert Intelligence
Netherlands Police
@oscarwijsman
Netherlands Police
one single police force since 2012
with 65.000 colleagues
10 Regional Units
1 National Unit
1 Police Service Centre
75 Data Scientists
10 PhD candidates
22
What does AI mean to us?
Many definitions & focal points worldwide….
• Human design and/or human in control
• Machines that can reason
• Taking action ≠ taking decision
• What is “autonomous”
• Experimenting ≠ will use it
33
How are we involved
1. Working group on AI – strategic level
2. Political & legislative discussions
e.g. NL Strategic Action Plan AI, EU EC
3. NL Police AI lab – linked with academia
4. AI is part of our Data Science activities
both experiments and building applications
44
Collaboration among various universities
Part of ICAI https://icai.ai/police-lab-ai/
10 PhD candidates, 2 post-docs and 2 programming teams
Goal: developing AI knowledge for law enforcement to steer towards a more
effective, fair and transparent police
National Police AI LabNational Police AI Lab
55
For good and for bad…
AI in the lab – concept development1. Understand, explain decisions or decision support, reasoning
2. Ensure legal and ethical correctness, guidelines, piloting, learning by doing
3. Get insight in phenomena, behaviour, pitfalls
and in the operation – daily use1. Image, text & pattern recognition & interpretation, entity extraction (ML and DL)
2. Unravel complex (criminal) networks, relations
3. Task automation (narrow AI)
But our criminal adversaries will use it too…
66
AI applications for LEA’s can be
1. Biometrics (face, sound, movement, fingers, feet..)
2. NLP (multi-lingual, automatic translation)
3. Fraud detection
4. Recommendation engines
5. Deep fakes (detecting)
6. Malware & (prevent) cyber attacks
7. Complex networks and more…
77
Ethics are important
and must be at the core of how we use AI
But many approaches and frameworks…
88
https://cyber.harvard.edu/publication/2020/principled-aihttps://cyber.harvard.edu/publication/2020/principled-ai
99
https://cyber.harvard.edu/publication/2020/principled-aihttps://cyber.harvard.edu/publication/2020/principled-ai
1010
https://cyber.harvard.edu/publication/2020/principled-ai. https://cyber.harvard.edu/publication/2020/principled-ai.
1111
How many frameworks do we need?
Which ones should a police Data Scientists or Engineer be conscious of?
1212
What role do Interpol, Europol and national LEA’s have?
What would our (correct) order of challenges be?12
1313
1414
In the future we will have1. Strategy and commitment, both LEA and EU LEA’s
2. Better legal framework & regulation, human centric
3. Cross-border (cloud) infrastructure, open source
4. International cooperation and sharing of (our own)
knowledge, best practise and solutions AI platform
5. Unbiased data sets / common ontology, taxonomy
6. Research hub
7. New and different role for Europol (and Interpol)
1515
Opportunities
1616
Risks
1717
1818
Questions in the panelQuestions in the panel
1919