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Designing
Collective intelligence for
Policing
Geoff Mulgan, Police Foundation, October 2018
In a democracy policing has to
be trusted and effective –
co-created with citizens
engaged in intelligence and
enforcement. What will this
mean in the 2020s and beyond?
Average number of guesses = 1,1997
Actual weight of the ox = 1,1998
•Observation and data
•Live models of the world
•Analysis and prediction
•Memory
•Motor coordination
•Empathy
•Creativity
•Judgement
•Wisdom
Observation
Operations Room, Jakarta Smart City Lounge
Memory
Creativity
•LEARNING
LOOPS
Third Loop
Rethinking
how to think
Second Loop
Creating new categories
and models to think with
First Loop
Adapting thought and
action within an existing
framework
Intelligence Assemblies
Facial recognition is an increasingly popular
tool for law enforcement to track down
criminals and to find missing people
Facial recognition is
being rolled out
across China.
The central
government has
now begun building
a DNA database to
help match parents
and children.
21
The child abuse image database (CAID)
contributes to the fight against online
child sexual exploitation and abuse.
Caid identifies GPS data linked to stored
photos and videos
Tackling child abuse
Kent Police
Since December 2012, officers in Kent have
been used a system called Pred Pol to predict
where crimes may occur.
Durham Constabulary
Durham police's use of HART focusses on custody
decisions and is designed as a tool to support
officers. Its use was initially started in 2017.
South Wales Police
The Welsh police force is using AI as part of its
facial recognition system.
UK police forces using AI
Image: Wired
Kent Constabulary has used data on
previous offenses in their area to optimise
resource allocation and better coordinate
police surveillance.
Data includes five years of historical
records of crimes committed in the area.
Officers receive daily updates on 180
hotspots in the area and can use them to
inform their decisions on what areas to
patrol the most.
Example
24
Example
25
Durham Constabulary is using HART, a
data tool to support consistency in the
decision-making of custody officers when
assessing the risk of future offending.
This tool creates a risk score, from high to
low, drawing from data that relates to a
suspect’s previous offending behaviour
together with age, gender, residential
postcode, and intelligence reports.
Image: Getty Images / Financial Times
South Wales Police’s facial recognition van at the
UEFA Champions League final in 2017.
Example
South Wales Police has been testing an
automated facial recognition system since
June 2017 and has used it in the real-world
at more than ten events.
Richard Lewis, deputy chief constable of
South Wales police (pictured right): 'If you
identify someone who has committed an
offence [previously], you basically say: we
know you’re here, please behave yourself'.
Text to follow
Images:
27
Trygve is enabling a growing number of
Swedes to guard against crime and help
each other in emergencies. The app
immediately communicates to groups and
individuals any number of situations users
wish to report, from armed robberies to
stray dogs.
Community policing in the digital age
“This tool allows police to have a presence in a digital
environment that is safe and accessible to anyone.
We really look forward to see how it enhances our
engagement with the community”
PC Kat Johnson
Met Police
Safeland
(formerly Trygve)
app has a
location-based
feature and is
free of charge;
but users can pay
in order to link it to
their home
security systems.
31
Image: East London Times
•RISKS &
CHALLENGES
SKILLS?
ETHICS?
Image: The Guardian
TRUST?
37
There are concerns over algorithms' potential to bias
decision-making in certain contexts
BIAS?
Image: ProPublica
Policing
with
collective
intelligence
‘
(final point)
Image: Essex Police
Designing collective intelligence for policing

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Designing collective intelligence for policing

  • 1. Designing Collective intelligence for Policing Geoff Mulgan, Police Foundation, October 2018
  • 2. In a democracy policing has to be trusted and effective – co-created with citizens engaged in intelligence and enforcement. What will this mean in the 2020s and beyond?
  • 3.
  • 4.
  • 5. Average number of guesses = 1,1997 Actual weight of the ox = 1,1998
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. •Observation and data •Live models of the world •Analysis and prediction •Memory •Motor coordination •Empathy •Creativity •Judgement •Wisdom
  • 15. Third Loop Rethinking how to think Second Loop Creating new categories and models to think with First Loop Adapting thought and action within an existing framework
  • 17.
  • 18.
  • 19. Facial recognition is an increasingly popular tool for law enforcement to track down criminals and to find missing people
  • 20. Facial recognition is being rolled out across China. The central government has now begun building a DNA database to help match parents and children.
  • 21. 21 The child abuse image database (CAID) contributes to the fight against online child sexual exploitation and abuse. Caid identifies GPS data linked to stored photos and videos Tackling child abuse
  • 22.
  • 23. Kent Police Since December 2012, officers in Kent have been used a system called Pred Pol to predict where crimes may occur. Durham Constabulary Durham police's use of HART focusses on custody decisions and is designed as a tool to support officers. Its use was initially started in 2017. South Wales Police The Welsh police force is using AI as part of its facial recognition system. UK police forces using AI Image: Wired
  • 24. Kent Constabulary has used data on previous offenses in their area to optimise resource allocation and better coordinate police surveillance. Data includes five years of historical records of crimes committed in the area. Officers receive daily updates on 180 hotspots in the area and can use them to inform their decisions on what areas to patrol the most. Example 24
  • 25. Example 25 Durham Constabulary is using HART, a data tool to support consistency in the decision-making of custody officers when assessing the risk of future offending. This tool creates a risk score, from high to low, drawing from data that relates to a suspect’s previous offending behaviour together with age, gender, residential postcode, and intelligence reports.
  • 26. Image: Getty Images / Financial Times South Wales Police’s facial recognition van at the UEFA Champions League final in 2017. Example South Wales Police has been testing an automated facial recognition system since June 2017 and has used it in the real-world at more than ten events. Richard Lewis, deputy chief constable of South Wales police (pictured right): 'If you identify someone who has committed an offence [previously], you basically say: we know you’re here, please behave yourself'.
  • 27. Text to follow Images: 27 Trygve is enabling a growing number of Swedes to guard against crime and help each other in emergencies. The app immediately communicates to groups and individuals any number of situations users wish to report, from armed robberies to stray dogs. Community policing in the digital age
  • 28. “This tool allows police to have a presence in a digital environment that is safe and accessible to anyone. We really look forward to see how it enhances our engagement with the community” PC Kat Johnson Met Police
  • 29.
  • 30. Safeland (formerly Trygve) app has a location-based feature and is free of charge; but users can pay in order to link it to their home security systems.
  • 35.
  • 37. 37
  • 38. There are concerns over algorithms' potential to bias decision-making in certain contexts BIAS?