How AI can build grassroots

1. A R T I F I C I A L I N T E L L I G E N C E
A N D C O N F L I C T R E S O L U T I O N
U N K O S O V O T R U S T B U I L D I N G F O R U M - M AY 2 0 1 8
R E N ATA AV I L A , I N T E R N AT I O N A L L AW Y E R
T E C H , D ATA , H U M A N R I G H T S

3. T H E I N T E R N E T I S 4 0 Y E A R S O L D
N O T H I N G N E W

5. W H O D O W E T R U S T ?
W E N E E D D ATA F O R A I

7. Can conflict be predicted?

8. I S T E C H N O L O G Y C A U S I N G
C O N F L I C T S ?
T H E O L D T E C H N O - U T O P I A N I S M I S C R U M B L I N G .

11. W E S H O U L D N E V E R A S S U M E T H AT
C O M P U T E R S A LWAY S G E T I T R I G H T
• Meredith Broussard argues that our collective
enthusiasm for applying computer technology to every
aspect of life has resulted in a tremendous amount of
poorly designed systems.

12. T E C H N O L O G Y I S N O T I S O L AT E D F R O M P O L I T I C S A N D I T S
P O W E R I S C O N C E N T R AT E D I N F E W C O U N T R I E S ,
A F F E C T E D B Y G E O P O L I T I C S - U N L E S S W E C H A N G E I T
• Amazon, Google and Microsoft don't just
provide us all with on-demand shopping, email
and cloud services – they also supply
technology and services to develop weapons
of war.

13. D ATA A N D M A P S A R E P O L I T I C A L
T O O L S A N D S O C I A L T O O L S :
T H E C A S E O F G U AT E M A L A

14. – F R A N C E S C A B R I A , C T O B A R C E L O N A
“Data is a city infrastructure, a common good that
should be controlled by citizens & open to local
entrepreneurs .”

15. T H E C A S E O F B A R C E L O N A :
N E W S O C I A L R I G H T S T O D ATA
• Barcelona is experimenting with socialising data in
order to promote new cooperative approaches to
solving common urban problems.
• Data Commons enabling citizens to contribute, access
and use the data

17. D ATA A L L O W S U S T O
P L AY D E V I L ' S A D V O C AT E .

18. E N F O R C E M E N T O F A G R E E M E N T S : N O N
C O M P L I A N C E D E T E C T E D B Y S Y S T E M S ?
T H E C A S E O F B R A Z I L

19. L E A R N I N G F R O M B O T S
T H E C A S E O F C H I L E

20. • AI machines could assess all the data available and
weigh the pros and cons of each potential strategy,
eventually suggesting the next steps to be taken.

21. • Citizens as active data producers, users and intermediaries
• Understand on-the-ground conditions, document and map
incidents and sentiment, especially when data from other
sources is unavailable, inaccessible or of poor quality
• Crowd-mapping for better understanding of corruption,
harassment or voter turnout
• Granular data for more evidence-based decisions, policy
and practice

22. C O L L E C T I V E D E B AT E
E X A M P L E AT M I T, U S A

23. T R A D E O F F A N A LY T I C S
I B M WAT S O N

24. E X A M P L E S O F A I A N D N E G O T I AT I O N S
( A N D U N A N S W E R E D Q U E S T I O N S )
• The Brazilian Chamber of Commerce is promoting the
adoption of an artificial intelligence tool in order to
speed-up the conclusion of an e-commerce
multilateral trade agreement.

25. Kudi.ai
CHATBOTS:
Natural language processing
techniques are increasingly
helping scale up service delivery
without the need for human
resources.
Software is trained to understand
patterns within language and react
by offering human-like answers to
queries.
Efficient 24hs banking (kudi.ai)
Deal with sexual reproductive
health concerns without feeling
judged (SophieBot, Kenya/US)
Citizen Participation (PM Q, India)

26. • Will Artificial Intelligence, powered with our data, help
those in conflict develop mutually acceptable
agreements?
• It depends. We need to train it with good data, and
we need to hold it accountable with our data.