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BuildingPrivacy-PromotingSystemsandStandardsToMakeDataWorkforDevelopmentandDemocracy
EmmanuelLetouzé,PhDDirector&co-Founder,Data-PopAlliance
Director,OPALProjectVisitingScholar,MITMediaLabHumanDynamicsGroup
ConnectionScienceFellow,MIT
INEGISeminaron“PrivacyandConfidentialityofInformationintheDigitalAge”MéxicoCity,September4th-5th2018
Source:Letouzé,2013
• Weproduce,collect,store,andcananalyzemoredatathaneverinhumanhistory:“BigData!Bighopes!”.
• ButNSA,CambridgeAnalytical,NSA…datais/aregettingabadname.Manypeoplearefedup.
• “Privacyisdead”!“Dataminimizationisdead!”.“Dataisthenewoil!”“Ifit’sfreeyou’retheproduct!”.
• “Data,algorithms,AI,machines,willenslavehumans”.
Canitbeotherwise?
Canwefosterthegoodwhilelimitingthebad?Canwe“Save(Big)DatafromItself”?
Canweimagineanddesignbetterdatasystemsandstandardsthatmayfuelbetterdecisions,moreefficientsocialcontracts,andfairer,safer,moresustainableandresilientsocieties?
How?
TheInformationAge
Source:Data-PopAlliance
TheInformationAge
Source:Data-PopAlliance
CallDetailRecords- Metadata
Source:deMontjoye,Pentland,Noriega,Letouzé,UNGlobalPulse… (variousyears)
Applications:HometoClinicsCommuteinMéxico
Source:Noriega,Pentland
Guanajuato
Is/Are“Anonymized”DatatheAnswer?
No.WeAre“Uniqueinthecrowd”.
Source:deMontjoye et.al,(2013,2017),
è Utility/PrivacyTrade-Off
Source:deMontjoye,Pentland,et.Al.
Utility Privacy
It’sNotJustAboutIndividual Privacy
Power:WhoHasAccess,How,toDoWhat?
Source:Letouzé,2013
==Whatisprivacy?
Source:Letouzé,2013
1. Privacyastherighttobe“leftalone”
2. Privacyastherighttodignityandself-determination—asindividualsandaspeople
IanMorris,chart ofallhuman history
(What/How)CanWeLearnfromHistory?
“….movefromthefearedtyrannyofdataandalgorithmstoadata-enabledmodelofdemocraticgovernancerunningagainsttyrantsandautocrats,andforthepeople.”
PillarsofPositiveData-EnabledPositiveDisruption
“OpenAlgorithms”:ABoldNewVisionandProject
OPAL:NewGenerationDataSystemsandStandards2.Certifiedopenalgorithmsdevelopedbydevelopersaresentandrunontheserversofpartnerprivatecompanies,behindtheirfirewalls.
1.Partnerprivatecompanies(hereatelecomoperator)allowOPALto
accessitsserversthroughasecuredplatform.Thedataneverleave theservers.
3.AgovernancesystemincludingaCouncilfortheOrientationsofDevelopmentandEthics(CODE)ensuresthatthealgorithmsandusecasesareethicallysound,contextrelevant,etc.;usersbenefitfromcapacity
buildingactivities
4.Keyindicatorsderivedfromprivatesectordatasuchaspopulationdensity,povertylevels,ormobilitypatterns,feedintousecasesinvariouspublicpolicyandeconomicdomains.Dataaresafe,minimized,used(more)ethically.
Building1.5MEuropilotsinColombiaandSenegalwith2majortelcos andtheirNSOs
FoundersFunder
Keypartners
>2018:BetaVersionandFutureExpansions
Q4 2018 Q1 2019 Q2 2019 Q3 2019
1. Full user interface2. Algorithms store3. Certification mechanism4. New algorithms5. Algorithms sandbox and
description 6. ...
Banking Insurance
Technology V2 and Expansion options in LAC
Governance V2 and Expansion
1. Oversightandsteering2. Legalandethics3. Facilitatingalgorithmdev.4. Useranddevelopersupport5. Knowledgeandskills6. Research7. Businessmodeldevelopment
PublicHealth
Guatemala
México
Haiti
Chile
ElSalvador
Nicaragua
LongTerm:DataSystemsandStandardsForaHumanAI?
“ThebigquestionthatI'maskingmyselfthesedaysishowcanwemakeahumanartificialintelligence?Somethingthatisnotamachine,butratheracyberculturethatwecanallliveinashumans,withahumanfeeltoit.Idon'twanttothinksmall—peopletalkaboutrobotsandstuff—Iwantthistobeglobal.(…)Whatwouldhappenifyouhadanetworkofpeoplewhereyoucouldreinforcetheonesthatwerehelpingandmaybediscouragetheonesthatweren't?Thatbeginstosoundlikeasocietyoracompany”.
TheHumanStrategy.www.thehumanstrategy.mit.edu
ProfAlex‘Sandy’Pentland,:
TakingthekeyinsightsofAIespecially• roleofdata• creditassignmentfunction
reinforcing“neurons”thatwork (teams,groups,policies)
applythisgeneralframeworktoentiresocieties
1. Key principle
Leveraginghuman-machinecomplementaritiesthroughcooperation:
• humansdothestrategyandoversightandmachinesdothetacticsandbookkeeping.
• Humans+Machines>>HumansorMachines.(E.g.chesscompetition)
• Newjobswillbecreated(e.g.machineprisonguardsbutmoresocialworkers)
2. Key features
• Good dataonthesystem’sfunctioningandperformance
• Goodfeedbackandresponsesystems(i.e.“humanorsocietyintheloop”)
• Somegeneralagreementoninputs(facts)andoutputs(goals)
• Sufficienthumanskillstoadapt,implementandoversee
3. Key requirements
Visionofa“HumanAI”
Maincontemporarychallenges1. Somepowerfulagentshavestrongincentives
forthisnottowork (e.g.economicandpoliticalmonopoliesbenefitfromstatusquo)
2. Mostsocieties/countriescurrentlylacktheappropriatedatasources,capacitiesandcultureforthis
3. Thereiswidespread(andgrowing?)digitalandanalogsegregation thatfeedonandfueldistrust,disdain,echochambers,alternativefactsnarratives,etc.,hamperingcooperationandconsensusbuilding
4. WeknowAIcanandhasbeenusedtonurture3.(cf Facebooknewsfeed;AmazonPrime..)
