big data: new challenges for law and...
TRANSCRIPT
BIGDATA:NEWCHALLENGESFORLAWANDETHICS
Internationalscientificconference22-23May2017
FacultyofLaw,UniversityofLjubljana
Poljanskinasip2,Ljubljana,Slovenia
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TableofContents
AbouttheConference 4
Keynotespeakers 5
ContactInformationandRegistration 8
Programme 9
Abstracts 15"ButIusedquotationmarks"-datasciencemethodsandmisinterpretations 15
TjerkTiman 15(Anti)DiscriminationandBigDataConsumerCreditRiskAnalysis 15
GavinRobinson 15AlgorithmicPatrol:TheFuturesofPredictivePolicing 16
DeanWilson 16Algorithmicpredictionincrimecontrol 16
AlešZavršnik 16Anonymisationofjudicialdecisionswithmachinelearning 17
MatejKovačič,AljažKošmerlj 17AutomatedCybercrimeInvestigations:Theexampleof“Sweetie2.0” 17
GregorUrbas 17BigData–BigIgnorance 18
RenataSalecl 18BigDataandEconomicCyberEspionage:anInternationalLawPerspective 18
MarušaT.Veber 18BigDatainCriminalJustice–FewChancesandSeriousRisks 18
UweEwald 18BigData,DataProtectionandCitizenEmpowerment:TheRevivalofIndividualParticipationPrincipleasaResponsetoNewTechnologicalChallenges 19
WenlongLi 19BigData,PsychodiagnosticsandThreatstoPersonalAutonomy 19
FriderikKlampfer,BojanMusil,NenadČušBabičandDomenBajde 19Bighealthdataonsocialnetworkingplatforms:Thelegalandethicalquestions 20
MariaTzanou 20Cross-borderexchangeofbigdata-innovativetechnologymeetsoutdatedlegalframework 21
StanislawTosza 21DatabasesandDueProcesswithregardtoEuropeanCourtofHumanRights’Case-Law 21
BegümBulakUygun 21Dispensablehumansandindispensablemachinesinthecontextofclassandsocialcontrol 22
ZoranKanduč 22EconomicCyberEspionageandRegulationofBigDataTheftattheInternationalLevel 23
MašaKovičDine 23Findingtherightbalancebetweensecurityandprivacy:NATOandthebigdataanalyses 23
MitkoBogdanoski,MetodiHadji-Janev 23FiveReasonsNottoPersonifyAI 23
JoannaJ.Bryson 23HealthcareRobotsandtheRighttoPrivacy 24
TjašaZapušek 24Hidinglargeamountsofdatainvirtualdiskimages 24
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GašperFele-Žorž,AndrejBrodnik, 24HowAretheAustralianMetadataLawsAffectingtheAverageSocialMediaUser? 25
CarolinaAre 25Howdopublicsectorvaluesgetintopublicsectormachinelearningsystems,ifatall? 25
MichaelVeale 25Individualcontroloverpersonaldatainthedata-driveneconomy 26
HelenaUršič 26Judicialoversightof(mass)collectingandprocessingofpersonaldata 26
PrimožGorkič 26LimitsofthecurrentstateofArtificialIntelligenceforLaw 26
MarkoGrobelnik 26Livinglabsandbigdatainpractice:Stratumseind2.0-AdiscussionofalivinglabintheNetherlands 27
MasaGalic 27NATO’sNewChallenge:Synchronizing“Dots”,“Bullets”and“Skills” 27
MitkoBogdanoskiandMetodiHadji-Janev 27Personaldataforcommongood:howtoprofitfromBigDatasustainably 28
NadyaPurtova 28PersonalDataProtectioninSocialSciencesinBigDataEra 28
JanezŠtebe,SonjaBezjak,IrenaBolkoandAnaSlavec 28Pricing(big)data:therighttoknowthevalueofourownpersonaldata 28
GianclaudioMalgieri 28ProtectingIndividualRightsWithBasicToolsintheHigh-TechEra 29
SorinaIoanaDoroga 29Reconfiguringfreedom:Bigdata,theInvestigatoryPowersAct2016andtheconstructionoflibertyintheUK’ssecuritystate. 29
LydiaMorgan 29SlavetotheAlgo-rhythm?LegalandtechnologicalstickingpointsconcerningmachinelearningandtheGDPR 30
LilianEdwardsandMichaelVeale 30Sloveniancriminalintelligenceactivityandprotectionofprivacy 31
SabinaZgaga 31Socialnetwork,socialprofiling,predictivepolicing.Currentissuesandfutureperspectives 31
FedericoCostantini 31State’sDueDiligenceinCyberspaceintheEraofBigData 31
VasilkaSancin 31Thealluringpromiseofobjectivity:Bigdataincriminaljustice 32
MojcaPlesničar 32Wedon’tknowwhattheQuestionsare,butweknowwe'regonnafindtheAnswers 32
AlexanderCzadilek,ChristofTschohlandWalterHötzendorfer 32
AbouttheVenue 34
MapoftheBuildingoftheFacultyofLaw 35
VENUE:FacultyofLawinLjubljana 36
HOSTCITY:Ljubljana 38
OTHERIMPORTANTINFORMATION 39
Notes 40
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AbouttheConference
“BigData”isaphrasethathasbeenusedpervasivelybythemediaandthelaypublicinthelastseveralyears.Amongstmanyotherfields,socialcontrolandcrimecontrolinparticularhavebecomeoneofthekeyemergingusecasesofbigdata.Forexample,policepredictivesoftwareproduceprobabilityreportsoncriminalityandassureusthatbyusingthis,societieswillreducecrime.Otherprogramsarelookingforpatternsthatwouldhelpuspredictaterroristattack.Criminaljusticesystemsareusingtechnologicalsolutiontoo,forinstance,topredictfuturecrimesofthoseapplyingforbailorthosetobesentonaparole.Underlyingtheseandmanyotherpotentialusesofbigdataincrimecontrol,however,areaseriesoflegalandethicalchallengesrelatingto,amongotherthingstoprivacy,discrimination,andpresumptionofinnocence.Theleadingquestionstheconferencespeakerwilltackleare:
• howtheoperationsofsociety,politicalsystems,and,inparticular,socialcontrolandcrimecontrol,ischangingduetolargedatabasesandalgorithmicdataminingandpredictingpowers?
• Willcomputersdecidewhotoprosecuteandwhoshouldbesenttojail?• Whichprogrammesandsystemsofalgorithmicpredictionsarealreadyinplaceinthecriminaljustice
systemsaroundtheglobe?• Whythiscanbedangerousintermsoffundamentalhumanrightsandfundamentalprinciplesof
democraticsocieties?• IsthenewGDPRasuitableframeworkfor»algocracy«,i.e.rulebythealgorithm?• Howcanweproposesolutionsthatmaynothinderthedevelopmentofthetechnology,butenable
morenuanced,ethicallyandlegallysoundsolutionstobedevelopedinthefuture?
Weinvitepaperproposalsfromscholarsacrossthesocialsciencesandhumanitiesstudyingbigdatachallengesforlawandethics.Themesofinterestinclude(tentativelist):
• bigdataandcrimecontrol• predictivepolicing• automatedjustice• bigdataanddiscrimination• bigdataandsocialsorting• ethicaldilemmasandpredictiveanalytics• bigdataandinternationallaw• bigdataandpersonaldataprotectionlaw• bigdataandcyberespionage• bigdataandcitizenempowerment
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Keynotespeakers
• DeanWilson,UniversityofSussex,Brighton,UK• NadyaPurtova,TILT,TilburgUniversity,TheNetherlands• JoannaJ.Bryson,UniversityofBath,UK,andaffil.atTheCenterforInformationTechnologyPolicy,
PrincetonUniversity,USA• MarkoGrobelnik,JozefStefanInstitute,Slovenia• TjerkTiman,TILT/UniversityofTilburg• AlexanderCzadilek,ChristofTschohlandWalterHötzendorfer,epicenter.works,ResearchInstitute
Vienna• RenataSalecl,InstituteofCriminologyattheFacultyofLaw,Slovenia• AlešZavršnik,InstituteofCriminologyattheFacultyofLaw,Slovenia
DeanWilsonwasalecturerandthenseniorlecturerincriminologyatMonashUniversity,Melbourne,Australiabetween2003and2010andaReaderinCriminologyattheUniversityofPlymouthpriortojoiningtheUniversityofSussexin2015,whereheisProfessorofCriminologyintheDepartmentofSociology,SchoolofLaw,PoliticsandSociology.Dean’skeyresearchinterestsareinsurveillanceandpolicing,andhehaspublishedwidelyintheareasofhistoriesofurbanpolicing,contemporarypolicing,surveillanceandmostrecentlypre-emptionandcriminaljustice.Hismostrecentpublication(withJudeMcCulloch)Pre-Crime:Pre-emption,precautionandthefuturewaspublishedbyRoutledgein2016.DeanisalsoCo-DirectoroftheinternationalSurveillanceStudiesNetwork,andanAssociateEditorofthejournalSurveillance&Society.
NadyaPurtovaisanAssistantProfessoratTilburgInstituteforLaw,Technology,andSociety,TilburgUniversity,whereshedoesresearchondataprotectionandinformationalprivacylaw,propertyrightsinpersonaldataandeconomicanalysisofdataprotectionlaw.NadyaobtainedherPhDinlaw(cumlaude)in2011fromTilburgUniversity.Herdissertationonpropertyrightsinpersonaldata(TilburgUniversityBestDoctoralDissertationAwardfor2010/11)ispublishedbyKluwerLawInternational.In2016shewasawardedtheEuropeanResearchCouncil(ERC)StartingGranttoconductafive-yearresearchprojectaimedtoreconfigurelegalprotectionofpeopleagainstinformation-inducedharmsbasedonbetterunderstandingofinformationrootedinlaw,economics,andinformationstudies(ERC-2016-StG-716971INFO-LEG).
JoannaJ.Brysonisatransdisciplinaryresearcheronthestructureanddynamicsofhuman-andanimal-likeintelligence.Herresearchcoverstopicsrangingfromartificialintelligence,throughautonomyandrobotethics,andontohumancooperation.Bryson'sfirstdegreeisinBehaviouralScience(non-clinicalpsychology)fromChicago(1986),shealsoholdsanMScinArtificialIntelligenceandanMPhilinPsychologyfromEdinburgh(1992,2000)andaPhDinArtificialIntelligencefromMIT(2001).BrysonjoinedBathin2002intheirDepartmentofComputerScience,whereshewaspromotedtoReader(tenuredassociateprofessor)in2010.ShefoundedandforseveralyearsleadtheirIntelligentSystemsresearchgroup,andisaffiliatedwithBath'sInstitutesforPolicyResearchandMathematicalInnovation,aswellastheirCentresforNetworksandCollectiveBehaviourandforDigitalEntertainment.ShehasheldvisitingacademicpositionswithPrinceton'sCenterforInformationTechnologyPolicy(wheresheisstillaffiliated),theMannheimCentreforSocialScienceResearch(MZES,2011-2014),theDepartmentofAnthropologyOxford(HarveyWhitehouse'sExplainingReligionproject,2010-2011),TheMethods&DataInstituteatNottingham(agent-basedmodellinginpoliticalscience2007-2008),andtheKonradLorenzInstituteforEvolution&CognitionResearchinAustria(onthebiologicaloriginsofculture,2007-2009).BeforecomingtoBath,sheconductedacademicresearchinEdinburgh'sHumanCommunicationResearchCentre(1999-2000),andHarvard'sDepartmentofPsychology(2001-2002).Additionally,shehasprofessionalexperienceinChicago'sfinancialindustry(1986-1991),internationalorganizationmanagementconsultancy(1993-1994),andindustrialAIresearch(forLEGO,1995,1998).BrysonhasservedontheSenate,Council,andCourtfortheUniversityofBath,representingtheAcademicAssembly.SheispresentlyamemberoftheCollegeoftheBritishEngineeringandPhysicalSciencesResearchCouncil(EPSRC)andservesasamemberoftheeditorialboardforseveralacademicjournals,includingAdaptiveBehaviour,AI&Society,ConnectionScience,andTheInternationalJournalofSyntheticEmotions.
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MarkoGrobelnikisaresearcherinthefieldofArtificialIntelligence(AI).FocusedareasofexpertiseareMachineLearning,Data/Text/WebMining,NetworkAnalysis,SemanticTechnologies,DeepTextUnderstanding,andDataVisualization.Markoco-leadsArtificialIntelligenceLabatJozefStefanInstituteandistheCEOofQuintelligence.comspecializedinsolvingcomplexAIproblemsforthecommercialworld.HecollaborateswithmajorEuropeanacademicinstitutionsandmajorindustriessuchasBloomberg,BritishTelecom,EuropeanCommission,MicrosoftResearch,NewYorkTimes.Markoisco-authorofseveralbooks,co-founderofseveralstart-upsandis/wasinvolvedintoover50EUfundedresearchprojectsonvariousfieldsofArtificialIntelligence.In2016MarkobecameDigitalChampionofSloveniaatEuropeanCommission.
TjerkTimanisapostdocresearcheronsurveillanceandprivacyintheVICIprojectofprof.Bert-JaapKoopsatTilburgInstituteforLaw,Technology,andSociety/UniversityofTilburg.
ChristofTschohlisICTengineerandlawyerandservessince2012asScientificDirectoroftheResearchInstitute–DigitalHumanRightsCenterinVienna.HeisprimarilyinchargeofthedevelopmentofresearchprojectsandpublicationsonHumanRightsandInformationTechnologyandhasbeenemployedmanyyearsasalegalresearcherfortheLudwigBoltzmannInstituteofHumanRightsandaspost-docProjectAssistantattheUniversityofVienna.Mr.Tschohlisfurthermorethechairmanofepicenter.works,formerly“workingpartyondataretention”(AKVorrat.at).ThisNGOtookactionagainstthecomprehensiveblanketdataretentionoftrafficdatarecordsofallpubliccommunicationservicesandsuccessfullyconductedalawsuit,supportedby11.167people,attheAustrianconstitutionalcourtinthiscase.TogetherwithapreliminaryrequestfromIrelandthisleadtotheabolitionoftheDataRetentionDirectivebytheEuropeanCourtofJustice(CJEU)inApril2014.
WalterHötzendorferisSeniorResearcherandSeniorConsultantattheResearchInstitute,BoardMemberoftheAustrianComputerSociety(OCG)andCo-ChairoftheOCGForumPrivacy.Hehasdegreesinlawaswellasinbusinessinformatics(informationsystems)andexperienceinresearch,legalcounsellingandsoftwareengineering.From2011to2016hewasaResearcherattheUniversityofViennaCentreforComputersandLaw,wherehehasworkedinseveralnationalandinternationalresearchprojectsanddidaPhDonDataProtectionandPrivacybyDesigninFederatedIdentityManagement.Walter’sresearchinterestsspandataprotectionlaw,privacybydesign,privacyengineering,electronicidentities,publicsecurity,informationsecurity,cloudcomputing,telecommunicationandthelegalaspectsoftheseandotherfieldsofICT.
AlexanderCzadilekissince2015lawyeratepicenter.works(formerlyAKVorrat.at)inVienna,whichis,sinceitssuccessfulcampaignfortheanullmentofthedataretentiondirective,commitedtothefightagainstmasssurveillance.InadditiontothisheisalegalreasearcheratResearchInstitute–DigitalHumanRightsCenterandconsultantatky-center,athinktankforsocialmedialaw(Vaduz,Vienna,Munich).Hedealswithdataprotectionlawformorethantenyearsandisauthorandspeakerinthefieldsofdataprotectionlaw,privacyandsurveillance.Heiscommitedtothepreservationoffreedomrightsandapluralisticsociety.
TheResearchInstitute(RI)isayoungprivateresearchandconsultingcentreatthecuttingpointoftechnology,lawandsociety,whichcoversquestionsabouthumanrightsinadigitalsocietythroughamulti-andinterdisciplinaryperspective.Thiscoverstechnologicalandlegalaspectsofdataprotectionanddatasecurityaswellastechnologicalimpactassessment,cybercrimeandpoliticalstrategies.
RenataSaleclisaSlovenephilosopher,sociologistandlegaltheorist.SheisaseniorresearcherattheInstituteofCriminology,FacultyofLawattheUniversityofLjubljana,andholdsaprofessorshipatBirkbeckCollege,UniversityofLondon.ShehasbeenavisitingprofessoratLondonSchoolofEconomics,lecturingonthetopicofemotionsandlaw.EveryyearshelecturesatBenjaminN.CardozoSchoolofLaw(NewYork),onPsychoanalysisandLaw,andshehasalsobeenteachingcoursesonneuroscienceandlaw.From2012,furthermore,sheisvisitingprofessorattheDepartmentofSocialScience,HeathandMedicineatKing'sCollegeLondon.Herbooksinclude:Salecl,R.(2000).Sexuation.Durham,NorthCarolina:DukeUniversityPress;Salecl,R.(2004).Onanxiety.LondonNewYork:Routledge;andSalecl,R.(2010).Choice.London:Profile.Thebookshavebeentranslatedintothirteenlanguages.
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AlešZavršnik,DoctorofLaw(LL.D.),isaSeniorResearchFellowattheInstituteofCriminologyattheFacultyofLawinLjubljanaandAssociateProfessorattheFacultyofLawUniversityofLjubljana.HewasapostdoctoralfellowattheUniversityofOslo(2012)andattheMax-Planck-InstitutefürausländischesundinternationalsStrafrecht,Freiburgi.Br.(2009),andisstartingwithVisitingFellowshipattheCollegiumHelveticumZürich,ajointinitiativeoftheETHZürichandtheUniversityofZürich(2017-18).HecollaboratedinseveralEuropeanCooperationinScienceandTechnology(COST)Actions,e.g.LivinginSurveillanceSocieties.InhislatestresearchZavršnikfocusedonsurveillanceimplicationsofdronesinthebookheeditedDronesandUnmannedAerialsystems:LegalandSocialImplicationsforSecurityandSurveillance.Healsoco-editedabookCrimeandTransitioninCentralandEasternEuropethatwasawardedforthebestscientificachievementincriminologybytheSlovenianResearchAgencyin2012.Hehasextensivelyresearchedandpublishedoncybercrime,IT-law,surveillance,crimecontrolandtechnology.ZavršnikconductsethicalanalysisforsecurityandICTprojects,e.g.heisanindependentEthicsExpertwithREA,theresearcharmoftheEuropeanCommission,forHorizon2020projects.Amongothers,heledaresearchprojectLawintheAgeofBigData:RegulatingPrivacy,Transparency,SecrecyandOtherCompetingValuesinthe21stCentury(fundedbytheSlovenianResearchAgency,No.J5-6823).E-mail:[email protected].
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ContactInformationandRegistration
Theconferenceisorganizedwithintheresearchproject»Lawintheageofbigdata:Regulatingprivacy,transparency,secrecyandothercompetingvaluesinthe21stcentury«carriedoutattheInstituteofCriminologyattheFacultyofLawLjubljanaandFacultyofLawUniversityofLjubljana,andcoordinatedbyAssoc.ProfessorAlešZavršnik.ItisfundedbytheSlovenianResearchAgency.VenueFacultyofLaw,UniversityofLjubljana,Poljanskinasip2,SI-1000Ljubljana,SloveniaChairoftheProgramCommittee
AlešZavršnik,LL.D.,Assoc.ProfessorProgramCommittee
• ProfessorFrankPasquale,UniversityofMaryland,Baltimore,USA• ProfessorRenataSalecl,InstituteofCriminologyattheFacultyofLaw,Slovenia• ProfessorKatjaŠugmanStubbs,FacultyofLaw,UniversityofLjubljana,Slovenia• AssociateProfessorPrimožGorkič,FacultyofLaw,UniversityofLjubljana,Slovenia
OrganisingCommittee
• mag.MarušaVeber• mag.MašaKovič-Dine• dr.MojcaM.Plesničar• KatjaSimončič,JuniorResearcher• MihaHafner,JuniorResearcher
• LaraBrecelj• KlaraCvar• MašaGril• NejaDomnik
ContactAlešZavršnik,LL.D.,Assist.Prof.,E:ales.zavrsnik@pf.uni-lj.siInstituteofCriminologyattheFacultyofLawLjubljana,E:[email protected]:+386(0)14203242
ConferencefeesParticipantsoftheconference,i.e.speakersanddelegatesnotpresentingapaper,havetopayaconferencefee;unlessinvitedorstudents(inthelattercase,pleaseprovideproof).Thefollowingconferencefeesapply:
• fullpass-speakers:100EUR• fullpass-delegates(notpresentingapaper):70EUR• fullpass-VIPs(invited,uponanappointment):FREE• students:freeofcharge(proofmustbeprovided)• Earlybird(untilApril22,2017):75EURforspeakers;40EURfordelegates.
Delegatesandstudentscanregisterviae-mail:[email protected]:SI56020140253359987,SWIFT/BIC:LJBASI2X(Novaljubljanskabankad.d.,Trgrepublike2,1520Ljubljana,Slovenija).Accountholder:InstituteofCriminologyattheFacultyofLawLjubljana,Poljanskinasip2,1000Ljubljana,Slovenia.Youagreethatyourpersonaldatawillbecollectedandprocessedfortheconferencepurposes.Thebanktransferistheonlypaymentmethodavailable.Attheconference,youmustprovidetheproofofpayment.
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Programme
MONDAY22ndMAY
Hour Lecturehall
8:30–9:00 REGISTRATION Gold
Hour INTRODUCITONANDWELCOME Lecturehall
9:00–9:30 Prof.MatjažJager,DirectoroftheInstituteofCriminologyattheFacultyofLaw
Prof.MihaJuhart,DeanoftheFacultyofLaw,UniversityofLjubljana
Gold
Keynotesession1
Chair:AlešZavršnik
9:30–11:00
MarkoGrobelnik:
LimitsofthecurrentstateofArtificialIntelligenceforLaw
DeanWilson:
AlgorithmicPatrol:TheFuturesofPredictivePolicing
Gold
11:00–11:30 Coffeebreak
11:30–13:00 Keynotesession2
Chair:AlešZavršnik
NadyaPurtova:
Personaldataforcommongood:howtoprofitfromBigDatasustainably
AlexanderCzadilek,ChristofTschohlandWalterHötzendorfer:
Wedon’tknowwhattheQuestionsare,butweknowwe’regonnafindtheAnswers
Gold
13:00–14:00 Lunch
10
MONDAY22ndMAYBIG DATA AND PERSONAL DATA BIG DATA AND CRIMINAL PROTECTION PROCEDURE
Session2
Seminarroom5
Chair:KatjaSimončič
1. SabinaZgaga:Sloveniancriminalintelligenceactivityandprotectionofprivacy
2. PrimožGorkič:Judicialoversightof(mass)collectingandprocessingofpersonaldata
3. CarolinaAre:HowAretheAustralianMetadataLawsAffectingtheAverageSocialMediaUser?
4. BegümBulakUygu:DatabasesandDueProcesswithregardtoEuropeanCourtofHumanRights’Case-Law
Hour
Session1
Seminarroom4
Chair:MojcaM.Plesničar
14:00–15:30 1. HelenaUršič:Individualcontroloverpersonaldatainthedata-driveneconomy
2. LilianEdwardsand
MichaelVeale:SlavetotheAlgo-rhythm?LegalandtechnologicalstickingpointsconcerningmachinelearningandtheGDPR
3. WenlongLi:BigData,DataProtectionandCitizenEmpowerment
4. MašaGalič:Livinglabsandbigdatainpractice:Stratumseind2.0-AdiscussionofalivinglabintheNetherlands
15:30–16:00 Coffeebreak
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HUMAN RIGHTS, CRIMINAL JUSTICE BIG DATA POLICING AND BIG DATA
Session4
Seminarroom5
Chair:MihaHafner
1. GregorUrbas:AutomatedCybercrimeInvestigations:Theexampleof“Sweetie2.0”
2. StanislawTosza:Cross-borderexchangeofbigdata-innovativetechnologymeetsoutdatedlegalframework
3. FedericoCostantini:Socialnetwork,socialprofiling,predictivepolicing.CurrentIssuesandfutureperspectives
4. LydiaMorgan:Reconfiguringfreedom:Bigdata,theInvestigatoryPowersAct2016andtheconstructionoflibertyintheUK’ssecuritystate
Hour Session3
Seminarroom4
Chair:PrimožGorkič
16:00–17:30 1. SorinaIoanaDoroga:ProtectingIndividualRightsWithBasicToolsintheHigh-TechEra
2. MojcaM.Plesničar:Thealluringpromiseofobjectivity:Bigdataincriminaljustice
3. GavinRobinson:(Anti)DiscriminationandBigDataConsumerCreditRiskAnalysis
4. UweEwald:BigDatainCriminalJustice–FewChancesandSeriousRisks
Hour
17:30– WELCOMERECEPTION–FACULTYOFLAW MainHall
12
TUESDAY23rdMAY
Hour Lecturehall
8:30–9:00 REGISTRATION Red
Hour Keynotesession3
Chair:MojcaM.Plesničar
Lecturehall
9:00–10:30
JoannaJ.Bryson:
FiveReasonsNottoPersonifyAIRenataSalecl:BigData–BigIgnorance
Red
10:30–11:00 Coffeebreak
11:00–12:30 Keynotesession4
Chair:MojcaM.Plesničar
Lecturehall
TjerkTiman:
“ButIusedquotationmarks”:datasciencemethodsandmisinterpretationsAlešZavršnik:Algorithmicpredictionincrimecontrol
Red
12:30–13:30 Lunch
13
TUESDAY23rdMAY
BIG DATA KNOWLEDGE BIG CYBER DATA AND INTERNATIONAL LAW
Hour Session5
Seminarroom4
Chair:MihaHafner
13:30–15:00 1. MichaelVeale:Howdopublicsectorvaluesgetintopublicsectormachinelearningsystems,ifatall?
2. MatejKovačič,AljažKošmerlj:Anonymisationofjudicialdecisionswithmachinelearning
3. JanezŠtebe,SonjaBezjak,IrenaBolkoandAnaSlavec:PersonalDataProtectioninSocialSciencesinBigDataEra
4. GašperFele-Žorž,AndrejBrodnik:Hidinglargeamountsofdatainvirtualdiskimages
Session6
Seminarroom5
Chair:KatjaSimončič
1. VasilkaSancin:State’sDueDiligenceinCyberspaceintheEraofBigData
2. MitkoBogdanoskiandMetodiHadji-Janev:Findingtherightbalancebetweensecurityandprivacy:NATOandthebigdataanalyses
3. MarušaT.Veber:BigDataandEconomicCyberEspionage:anInternationalLawPerspective
4. MašaKovičDine:EconomicCyberEspionageandRegulationofBigDataTheftattheInternationalLevel
15:00–15:30 Coffeebreak
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SOCIAL, ECONOMIC & HEALTH ASPECTS OF BIG DATA
*Changestotheprogramcanbemadeintherun-uptotheconference.Allthechangeswillbedisplayedintheprogrampublishedontheconferencewebpage.Theorganizersshallnotbeliableforanyloss,liability,damageorexpensessufferedorincurredbyanypersonduetothechanges.
Hour Session7
Redlecturehall
Chair:MarušaT.Veber
15:30–17:00 1. ZoranKanduč:Dispensablehumansandindispensablemachinesinthecontextofclassandsocialcontrol
2. GianclaudioMalgieri:Pricing(big)data:therighttoknowthevalueofourownpersonaldata
3. FriderikKlampfer,BojanMusil,NenadČušBabičandDomenBajde:BigData,PsychodiagnosticsandThreatstoPersonalAutonomy
4. TjašaZapušek:HealthcareRobotsandtheRighttoPrivacy
Hour Redlecturehall
Chair:AlešZavršnik
17.00-17.15 CONCLUDINGREMARKS
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Abstracts
"ButIusedquotationmarks"-datasciencemethodsandmisinterpretationsTjerkTiman
TILT/UniversityofTilburg
WhereasBigDatainitselfisadebatableterm(forcomputerscienceitmeansdatathatistoolargetocomputebyasinglemachine,whereforsocialscienceitmeansdataistoolargetoanalyzebyonehumanresearcher),itisalsoadecontextualizedone,andthereforitleadstomanyhypedandconfusingpromisesinsociety.Questionsriseaboutbigdatabywhomandforwhom.AsSTSresearchers,wehavetoaskwhatkindofimpactBDhas,orcanhave,onsociety,butalsowhatkindofreflectionBDisgivingofsociety.Wherethenaturalscienceshavealreadyadaptedtoacomputationalandoftenquantitativewayofworking,manysocialsciencesarenowconfrontedwithnotonlyastrongerfocusonquantitativemethodsofworking(alsomoreandmoreasthesoleacceptedmethodofworking!),butalsohavetodealwithlargerheapsofdata.
Inanextremescenario,thepromiseofreal-lifedatameanstheendofsocialscience(onecananalyze“everything”realtimewithrealdata).However,manydisciplinesinsocialscienceandthereformanytypesofknowledgearestillinductive(notdeductive).Whilemachinescanmakedataintootherformsofdataandpossiblyevencantranslatedataintoformsofinformation,thisinformationstillneedshumansandcontextsinordertoproducesomeformofanaddedvalue.Inthatsense,thisnewpossiblereal-timequantitativeturnisnothingnew;itsjustmore.Thisalsomeansthatifsocialsciencewanttoremainrelevant,itneedstobeabletocounterpurelyquantitativeclaimsandunderstandathingortwoaboutdatasciencemethods.Onewayofdoingsoistocreatenewalliances-wherebeforeitwasmathandstats,nowitsdatascientistandprogrammers-andgetintosomedatasciencemethodsandtillsthemselves(yes,thisalsoholdsforlawyers!).
InthistalkIwillbrieflygointosometheoreticalassumptionsonBigData/datascienceandviadatasciencepracticesandexamples,Iwillshowhowmisinterpretationanddecontextualisationofdataleadtonon-sensicalanalysisandstrangerepresentationsofpeopleviaskeweddatadoubles.Iwillconcludebyattemptingamakeconnectionbetweentechnicalandlegalunderstandingsofwhatpersonaldatacanbe.
(Anti)DiscriminationandBigDataConsumerCreditRiskAnalysisGavinRobinson
UniversityofLuxembourg
RecentUKlegislationfacilitatingthecreditscoringofSMEsusingBigDatatechniquesandOpenDatasourcesthreatenstohollowoutinformationmanagementnormsanddatasubjectrightsenshrinedinprivacyanddataprotectionlawjustasitisgatheringunprecedentedmomentumincourtsand,withtheimpendingapplicationoftheGeneralDataProtectionRegulation,inpracticeacrosstheEU.Atthenationallevel,andhoweverBrexitmaypanout,itisdoubtfulthattheregulatoryre-shufflingandprivacy-relatedsafeguardsbundledintothelegislativestimulusforSMEcreditriskscoringarelikelytoaddressadequatelytheseriousaccuracy,transparencyandaccountabilityconcernsofindividualdatasubjectswhoselifechancesitalters.Wouldtheeffective,fullenforcementofdataprotectionprinciplesanddatasubjectrightsreallycripplethecreditreferenceindustrytothedetrimentofthenascenteconomicrecovery,oristhereamiddlepathandwilltheGDPRprovideit?
Thispaperproposestotackleaparticularlythornyaspectofthatdebate:therelationshipbetweencreditriskanalysisandantidiscrimination.Itbeginsbysurveyingthecutting-edgeofconsumercreditrisktools,productsforwhich“alldataiscreditdata”:theirsources,processesand(unforeseen)impactsoncitizens.Thelatter,
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oft-neglectedaspectisthenunpackedwiththeemphasisplacedonthecompatibilityofsuchtoolswiththeletterandthespiritofantidiscriminationlawsonthebooksintheUSandtheEU.Thisinturnimpliesareviewoftherecent,abundant(mainlyUS)literatureondiscriminationinthe“scoredsociety”(Zarsky),“blackboxes”(Pasquale)anddisparateimpact(Barocas&Selbst),butalsoofitsfarscarcerEuropeancounterpart–andthisinthelightofEU-levelantidiscriminationnorms(e.g.Article21,CharterofFundamentalRightsoftheEuropeanUnion).Isever-more-granularBigData-poweredcreditriskanalysisatallcompatiblewithsuchvalues?WhatmightbetheimpactoftheGDPRinthisregard?Howoughtitsmuch-vauntedprovisionsonprofilingbeinterpretedinordertoincreasethetransparencyofcreditscorersvis-à-visthescored–andhowaretheylikelytobeinterpreted?
AlgorithmicPatrol:TheFuturesofPredictivePolicing
DeanWilsonUniversityofSussex
‘PredictivePolicing’hasemergedasthekeybuzztermofcontemporarypolicing.Engagingpredictiveanalyticsdrawnfromsuchdiversedomainsasdisasterprediction,combatsituationsandsupply-chainmanagement,predictivepolicingextendsthepromiseofanticipatingcrimepriortoitsactualization.Marketingmaterialsarerepletewithstridentclaimsoffuturecrimesthatarecalculable,knowableandtargetablebeforetheytranspire.Additionally,predictivepolicingispromotedastheidealpolicingtechnologyforaclimateoffiscalausterity,withthecapacitytodirectpoliceoperationsinacost-effectivefashion–removingthenecessityfor‘costly’measuressuchascommunityengagement.Thischapterinterrogatestheclaimsofpredictivepolicing,contextualizingthemagainstthelongertrajectoryofinformationtechnologywithinpoliceorganizations.Predictivepolicingalsoemergeswithinacontextofsecuritycommodificationwhereastutemarketinghasadvancedtheviewthatfuturecriminalacts–andpersons–canberenderedvisibleandactionableinthepresent.Incommonwiththecentraltenetsofdataism,thereisalsoanunderlyinglogicthatpredictionswillberenderedevermoreprecisethroughtheaccumulationandintegrationofanever-expandingarrayofdatasets.Whileacknowledgingthattheoutcomesofpredictivepolicingarelikelytobehighlycontingent,bothorganizationallyandgeographically,itisarguedthatitrepresentsapotentiallydisturbingtrendincontemporarypolicing.Thelimitedevaluationevidencetodatesuggestsanelectiveaffinitybetweenpredictivepolicingandthe‘criminologiesofeverydaylife’suchasrationalchoiceandroutineactivitiestheory,thatprivilegeasocialtechnicalsolutions.TheintegrationofSOCMINT(SocialMediaIntelligence)alsopresagesformsofalgorithmicallyguided‘real-time’anticipatorypolicing–theconsequencesofwhichremainuncertain.Nevertheless,itisarguedthatpatternsofdiscriminatorypolicingandtheirattendantmilitaristiclogicsmaywellescalate,whilesimultaneouslyremainingobscuredbeneaththesheenofalgorithmiccalculation.
AlgorithmicpredictionincrimecontrolAlešZavršnik
InstituteofCriminologyattheFacultyofLaw
Thepaperwillpresentseveralexistentusesofbigdatainthecriminaljusticesystem,forexample,forthepreventionofpaymentcardfraudbymeansofskimming;forthepredictionofcrimewithpredictivesoftware;theuseofalgorithmstopredicttherecidivismofparolees.Suchknowledge,builtonalargeamountofseeminglyunrelateddata,whosecredibilityisbasedoncomplexmathematicalalgorithms,maylegitimiseincreasedsocialcontrol,limitprivacyandunderminethebasicprinciplesofcriminalprocedure.Takingintoconsiderationthebenefitsofalgorithmicservice,thepaperwillclaimthatoursocietywillhavetofindabalancebetweenthebenefitsofusingbigdataandthedisturbingeffectsitmayposeforsociety(e.g.abusethroughdatafishing,lossandtheftofpersonaldata,etc.).Itwillpresentthepitfallsofrelianceonbigdata
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predictionsusedbylawenforcementandcriminaljusticeagenciesandtherisksbigdatacarriesasregardsencroachmentonfundamentalliberties.
Anonymisationofjudicialdecisionswithmachinelearning
MatejKovačič,AljažKošmerljJozefStefanInstitute
SlovenianConstitutiondeterminesthatcourtproceedingsarepublic.Thismeansthatcourthearings(exceptwhentherearesomespecialreasons,forinstanceinvolvedminors,governmentsecrets,etc.)shallbepublic,andjudgmentsshallbepronouncedpublicly.Thereforepublichastherighttoknowthedecisionsofjudiciarybranchofpower.However,publishingcourtdecisionsisalsobelievedtocreateapushtowardsunificationofjurisprudence.
ThesearemainreasonswhySlovenianministryofjusticewantstopublishallcourtdecisionsontheInternet.However,SlovenianConstitutionalsoprotectspersonaldata,socourtdecisionsshouldbepublishedontheInternetinanonymousform.
Beforepublicrelease,allpersonaldataorotherdatafromwhichpersonsinvolvedintrialcouldbeidentified,shouldberemovedfromcourtdecision
InapresentationwewillpresentatoolTacita,whichhelpsinthisanonymisationprocess.ToolwasdevelopedatJožefStefanInstituteandusesmachinelearningtopredictwhichpartofacourtdecisionshouldberemoved(anonymised)withahighprobability.Tacitaisnotworkingcompletelyautomatic,buthelpsinotherwisetime-consumingmanualprocessofanonymisation.Wewillalsoshowhowthetoolhasbeendevelopedandwhichtoolsforanalyzingnaturallanguagehasbeenused.
AutomatedCybercrimeInvestigations:Theexampleof“Sweetie2.0”GregorUrbas
UniversityofCanberra
Dutchnon-governmentorganisationTerredesHommesin2013identifiedoverathousandpredatorsseekingtoengageinWebcamChildSexTourismfromsome65countriesoveraperiodofabout10weeks.Thesewereamong20,000requestsdirectedtoafictitious10-year-oldFilipinagirl,reallya3-Davatarcalled“Sweetie”,operatedbyateamofTerredesHommesresearchers.Numerousreferralstopoliceandprosecutionsfollowed,thefirstresultingconvictionbeingthatofanAustraliancitizenin2014.Amoresophisticatedandautomatedversionofthevirtualgirl,“Sweetie2.0”,nowoperatesindependentlyasachatbotwithenhanceddetectionfunctionalitytorecogniseindecentonlinebehaviourandchatcharacteristicsassociatedwithindividuals,whichcanbestoredandanalysedformatchingwithchatrecordsheldorobtainedbylawenforcementorthirdparties.Thesedevelopmentsillustratetheexpandingscopeforautomateddetectionofcybercrime,includingonlinechildexploitationthatmightbeanimportantelementoffuturepolicing.However,mostlegalsystemsarenotyetreadyforautomatedsurveillancedevicessuchas“Sweetie”tobeusedbylawenforcement,withopenquestionsaboutthelegalityoftheiruseandtheadmissibilityofevidencetherebyobtained.Thepresentationdiscussesthefindingsofthe2016reportentitled‘LegalAspectsofSweetie2.0’commissionedbyTerredesHommescomparingthelawsofnearlytwentycountries,againstthesubstantiveandproceduralframeworksoftheirdomesticlegalsystemsaswellaskeyinternationalagreementssuchastheCouncilofEurope’sConventiononCybercrimeandtheLanzaroteConvention.
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BigData–BigIgnorance
RenataSaleclInstituteofCriminologyattheFacultyofLaw
Intoday'ssociety,peoplearemonitoringandcollectingdatarelatedtothemselves.Aspeoplewiththehelpofvariousapplicationsdutifullyrecordtheirdailylives,theyallowcompaniestousetheirdataformarketingandsurveillancepurposes.Thepaperfirstlooksatthepsychologicalmechanismsthatarebehindthedesireforself-monitoring.Second,itlooksatthewaycorporationsexploitthesedesires.Andthird,itaddressesthequestionofwhypeopleoftenignorethefactthatdatathatiscollectedabouttheirlivescaneasilybeusedtotheirdisadvantage.
BigDataandEconomicCyberEspionage:anInternationalLawPerspectiveMarušaT.Veber
FacultyofLaw,UniversityofLjubljana
ThevalueandpowerofeconomicbigdataisincreasinglybeingrecognisedasanimportantassetofStatesintheirendeavoursatthecompetitiveandglobalisedeconomicmarkets.Againstthisbackgroundvariousmethodstogathermassiveamountsofsecret,publiclyunavailableeconomicinformationofthirdStatesarebeingused.Inthisrespect,cyberspacehasbecomeanultimatetoolenablingrelativelyeasy,sophisticatedandquickaccesstolargeamountsofconfidentialinformation,essentialfortheperformanceandoperationofbusinessesandeconomicstabilityofStates.ThispresentationwillfocusoneconomiccyberespionageamongStatesandassessesthelegalityofsuchactivitiesunderinternationallaw.Itwillprovideageneraloverviewofthreerelevantinternationallegalframeworksgoverningeconomiccyberespionage:bilateralagreementsbetweenStates,generalinternationallawrulesonnon-interventionandtradepolicytools.ItwillarguethateconomicallymotivatedcyberespionageactivitiesbyStatesandtheirstatusunderinternationallawshouldbedifferentiatedfromotherformsoftraditionalespionageconductedformilitary,strategicandsecurityreasons.Whilethelegalityoftraditionalespionageactivitiesattheinternationallevelremainuncertain,wearewitnessingimportantlegaldevelopmentsintheareaofeconomiccyberespionage.
BigDatainCriminalJustice–FewChancesandSeriousRisksUweEwald
Ruhr-UniversitätBochuminGermany
StartingfromtheFoucauldianconceptofthe“regimeoftruth”incriminaljusticethispaperwillpresentfindingsofacasestudyanalyzingacomplexorganizedcrimecaseinGermanywerehugeamountsofdigitaldatahavebeenintroducedintoevidence.AsfindingsshowBigDataEvidence(BDE)areabouttoalterthetraditionalwayprofessionalsinlawenforcementandcriminaljusticeactintheevidentiaryprocess.
First,somelightwillbeshedontheBDEchallengesfortheinvestigationandanalysisofseriouscriminalcasesandpossibleshortcomingsoftrainingandpracticeofcrimeanalystsin,e.g.,Computer-AidedQualitativeDataAnalysis(CAQDAS)toreliablyassesstheprobativevalue.
Second,thenewsituationforlawyersattrialwillbeconsidered.Mostcurrentlawyers(inGermany)haveablindspotwhenitcomestoempiricalanalysisofdigitalevidentiarymassdataretrievedfromICT-devicesorcollectedbymeansofelectronicsurveillance.Thereisinparticularnoclearunderstandingregardingthewayhowinformationisproducedfromthesedigitaldata,eventuallyformingevidentiaryknowledgeandneededtoapplysubstantivelawinacrediblemanner.
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Third,seriousriskswillbediscussedwhichariseinlightofBDEfromthemismatchofcriminalproceduralframeworksandpracticalrequirementsintheanalysisbylegalexperts.Moreover,BDEtendstocreatewhatdatasciencecalls“ambientintelligence”whichjeopardizesbasicprinciplesofmoderncriminallawsuchas“presumptionofinnocence”,“equalityofarms”or“publictrial”–ifnothandledproperlyatthelevelsoflegaleducation,judicialpracticeandlaw-making.
Finally,somesuggestionsshouldbeofferedonhowtoconceptualizetruth-findingandBDEandhowtolimittherisksforafundamentalhumanrightsandruleoflawcenteredapproachincriminaljustice.
BigData,DataProtectionandCitizenEmpowerment:TheRevivalofIndividualParticipationPrincipleasaResponsetoNewTechnologicalChallenges
WenlongLiTheUniversityofEdinburgh
Theindividual’sparticipationinprotectingpersonaldatawasgreatlyrespectedandconsideredamajorprinciplewhilemoderndataprotectionrulesweretakingshapeinthe1980s.Duringthefollowingdecades,however,theprinciplehasbeenlargelyunderutilisedforthereasonthatindividualsoftentimesfinditdifficulttogetinvolvedinsuchundertaking.Thishasbeenfurtherdeterioratedwhenbigdataanalyticsformulateanunpredictabledatadynamicthatcreatesawiderangeofeconomic,cognitiveandoperationalobstaclesforindividualstostayrelevant.
Thispaperattemptstoexaminetowhatextentcandataprotectionlawaccommodateandachievetheideaof‘citizenempowerment’andfocusesontheroleofanindividualinminimisingtherisksandharmsofbigdataanalytics.ItprincipallylooksatthelegislativeeffortsintheEUreformofdataprotectionlaw,asidefromtheemergenceofdecentralisedtechnologiesthatassistindividualsinfullycontrollingtheirpersonaldata.
Thepaperbeginsbytracingbacktothefoundationofdataprotectionlaw–theOCEDPrivacyFramework.Ittakestheindividualparticipationprincipleitcreatesasanentrypointandexaminesitscompatibilitywiththeideaofcitizenempowerment.Particularly,thepaperarguestheimportanceofindividualchecksamongamajorityofpaternalisticandcorporate-centricrulesandexploresthelegalbasisforachievingcitizenempowermentanduser-centricrulesinthecontextofdataprotection.Further,itexaminestheflexibilityofindividualparticipationprincipleintheeraofbigdataandlooksattheEuropeanapproachtousercontrol,takingthenewlycreatedrighttodataportabilityasacasestudy.Notably,thisrightisconsideredacriticalsteptoformulateanewdynamicfeaturing‘individualcentricity’,thusenablingindividualstotakeadvantageofpersonaldatafortheirowngoodandultimatelysharetheenormousbenefitsofbigdata.
BigData,PsychodiagnosticsandThreatstoPersonalAutonomyFriderikKlampfer,BojanMusil,NenadČušBabičandDomenBajde
UniversityofMaribor
Expertsandinstitutionshavewarnedofthethreatthatbigdataanalysisposestoourrighttoprivacy,thechallengeitraisestoourtraditionalnotionsofcriminalresponsibilityandjustice,aswellasconcernsabouttherisinglevelsofinvisibleandunaccountablesocialcontrol(EDPS2015).Andyet,surprisinglylittlehasbeenwrittensofaraboutitsdamagingpotentialforourpersonalautonomyasconsumersandcitizens.Thisisevenmoresurprisinggiventhepsychodiagnosticresearchthathasbeenconductedanddevelopedinrecentyears(Kosinskietal2013,Youyouetal2015,Parketal2015,Musiletal2017),whichisalsobeingaggressivelymarketedto,andusedby,economicandpoliticalstakeholdersaswellaspoliticalpartiesandorganizations,asapowerfultoolofnon-rationalpersuasion.
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Inthepaper,wefirstprovideanoverviewandanassessmentofthosepsychodiagnosticandpsychoprognosticcomputingtoolsthatarecurrentlymakingheadlines.Wetrytodispelthefogofself-promotionandspintoseeitsreal,notmerelyimaginedorhyped-up,diagnosticpotential.Howaccurateare“psychograms”basedonananalysisofpeople’sseeminglyinnocuousonlineactivities?Isthereanysubstancetotheclaimthatcomputeralgorithmscanknowusbetterthanweknowourselves?Next,weassesstheboldpromisesthattheknowledgeofavarietyofpsycho-socialfactsaboutindividualusersofICTenablesustomatcheveryparticularmessagetoaparticularaddressee’semotions,needs,andpreferencestoanextentthatwasunimaginableadecadeago.Canwereally,bymeansofthisnewtechnology,manipulatepeople’sminds,choicesandbehaviormuchmoreefficientlythaneverbefore?Andwhatimplicationsdoesthishaveforourself-understandingasrationalandautonomousbeings,nottomentiontheelevatedmoralstandingthatcomeswithit?
Manipulationisoneofthemostfamiliarbutalsoincreasinglycommonthreatstopersonalautonomy,whichinturniswidelyconsideredasworthyof,andevencommanding,(almost)unconditionalrespect.Accordingly,everychargeofmanipulationneedstobetakenseriouslyfromthemoralpointofview.Butdoestargeted,individualizedcommercialandpoliticalonlineadvertisingamounttovicious,morallyproblematicmanipulationatall?Inordertoanswerthis,weprovideatentativedefinitionofmanipulative,asopposedtonon-manipulative,attitudinalandbehavioralinfluence.WethenshowtargetedadvertisingexploitativeofInternetusers’identifiedcognitiveshortcomingsandemotionalvulnerabilitiesmanipulative.Welamentthecommercializationofpoliticsandofferanexplanationofwhatrendersmanipulationofcitizens’choicesparticularlyproblematic,evencomparedtodailytamperingwithourconsumeristchoices.
Finally,forthepurposeofpolicyrecommendations,weenvisionthreefuturescenarios:(a)pessimistic,(b)optimistic,and(c)balanced,arguingthatwhileself-regulationandanopt-outoptionofdatasharingmaybesufficientforthesecondandthethird,theonsetofthefirstwouldrequirethepassingofrestrictivedata-protectionlegislationifwearetopreserveourcoredemocraticvaluesandinstitutions.
Bighealthdataonsocialnetworkingplatforms:Thelegalandethicalquestions
MariaTzanouKeeleUniversity
Thiscontributionseekstoexplorethelegalandethicalquestionsthatarisefromtheuseofpersonalhealthdatainonlinesocialmedia.Healthdata,whichreferstoinformationconcerninganindividual’shealthordisabilitycanbeexchangedinanumberofdifferentwaysinsocialmedia:i)throughspecifichealth-relatednetworkingplatforms,suchasPatientslikeme;ii)throughgeneralnetworkingplatforms,suchasFacebookandTwitter;and,iii)throughhealthandfitnessapplications,suchaswearabledevices,whichcollectdataaboutthebodilyfunctioning,includingeating,sleeping,andotheractivityhabitsoftheindividualandcanbeintegratedwithsocialmediaandsharethisinformationinordertoshowcasetheuser’spersonalperformancestatistics.Sharingofhealthdatainsocialmediaraisesmajorethicalandlegalquestionsrelatingtoprivacy,dataprotectionandpersonalautonomyanddignityaswellastheissueofthesurveillanceofdigitalcommunities.ThepresentcontributionaimstoinvestigatethesechallengesandcriticallyevaluatethepossibilitiesofthecurrentlyavailablelegalandregulatoryframeworksattheEUandtheinternationalleveltoeffectivelyprotectbighealthdatafromthewidespreadsurveillanceandmonitoringofonlinecommunitiesbybothgovernmentauthorities(inordertofightterrorismandseriouscrime)andtheprivatesector(privateinsurancecompanies,companiesofferinghealthproductsorservices,marketingandadvertisingcompanies).
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Cross-borderexchangeofbigdata-innovativetechnologymeetsoutdatedlegalframework
StanislawToszaUniversityofLiège
Inordertoeffectivelyinvestigateandprosecutecriminaloffences,lawenforcementmusthaveaccesstodigitaldata,whichismostlyinpossessionofInternetserviceproviders,oftenlocatedabroad.Thelawofcriminalprocedureallowstheauthoritiestoaccessthisdata,whileprotectingsuspects’proceduralsafeguards.However,whentheserviceproviderislocatedinanothercountryorthedataisstoredabroad,lawenforcementshouldinprincipleresorttomutuallegalassistance(MLA)becausetheircoercivepowersarelimitedtotheirnationalterritory.
MLAprocedureiscumbersomeandlengthy.Inviewofitsdeficiencies,authoritieshaveatendencytocircumventMLArulesinpractice.Forinstance,theyrequestdatadirectlyfromtheserviceprovidersorconductdigitalsearchesincomputerssystemslocatedabroad(e.g.bymeansofTrojanhorses).Thelatteroptionisquestionableasitconsistsinaunilateral,covertaccesstodataonforeignterritory.Thefirstmethodputsatrisktherightsofthepersonsaffected.Furthermore,ifaserviceproviderrefusestocooperate,theproblemarisesastohowtoenforcethecooperationrequest.
Thisconundrumbecomesevenmorecomplexbecauseoftheuseofcloudservicesorencryption.Itbecomesparticularlychallengingbythegrowingtendencyandneedtousebigdatabylawenforcement.Thelatterproblemhasnotbeencomprehensivelyaddressed.Thismaypresumablyfavourdirectcooperationwithserviceproviders.Yet,italsorequiresprotectionoftherightsofaffectedpersons.TheaimofthispaperistodemonstratehowthetechnologicaldevelopmentsandtheneedsoflawenforcementchallengetheexistinglegalframeworkandcriticallyanalysefromthatperspectivethesolutionscurrentlybeingdiscussedwithintheEUandtheUS.
DatabasesandDueProcesswithregardtoEuropeanCourtofHumanRights’Case-Law
BegümBulakUygunYeditepeUniversity
Securityconcernsareattheforefrontofdatastorage.Theincreasinguseofdatabasesinthecriminalprocedureraisesproblemsintermsofensuringtherespectandprotectionoffundamentalrights.Databasesareinwidespreaduseinthecriminaljusticefieldacrosstheworld.Theseinstrumentshaveundoubtedadvantages:databasescontributeconsiderablytotheinvestigationofthecrime,ensurerapidinterventionattheinvestigationlevel,andallowthepossibilityofmakinganinformationexchangebetweencountries.Ontheotherhand,theyhaveundoubtedlyanimpactonindividualprivacy.Theuseofthistypeofinvestigativetoolscreatesaneedforappropriateregulationfortheuseandstorageofthedatacollectedinordertosafeguardthedisseminationandaccesstopersonaldata.Whilsttheuseofsuchmeasuresbylawenforcementagenciesiscommon,masssurveillanceasopposedtotargetedsurveillanceconstitutesaninterferencewiththerighttoprivacyandtherightsofthedefencesuchasthepresumptionofinnocence.Inparticular,specificprotectionisneededtoensuretherightprotectionfortheindividual'sprivacy.Iftheenforcementofthecriminallawsrequiresthepreservationofpersonalinformationgreaterawarenessisneededofthethreattoprivacyimplicitintheaccumulationofvastamountsofpersonalinformationindatabanks.Clearly,ahighlevelofprotectionofthepersonaldataofindividualswouldensureeffectivejudicialco-operationincriminalmattersandpolicecooperation.
Furthertoananalysisofthelegalframeworkthatappliestotherelationshipbetweensurveillanceanddataprotection,thispaperwilltrytofigureouthowtoovercomethelimitsofprivacy.Whiledoingso,themainargumentwillnotbejustaquestionofbalancebetweendataprotectionandnationalsecurityassuch.Masssurveillanceentailsachallengetocoreprivacyprinciplesforhowpersonaldatamustbeprocessedinareasonable,correctandlegitimatemanner.Giventhatdataretentioninthefieldoftelecommunication
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challengestheveryfoundationsoftheruleoflaw,thefocusisinsteadonalargerscalebeingtheimpactofthisconflictondueprocessrightsinademocraticsociety.
Thispapersuggestsananalysisoftherecentcase-lawoftheECtHRontheissue.Inparticular,theprivacychallengesassociatedwithsurveillance,primarilywithintherealmofthecriminaljusticedatabaseswillbehighlighted.Morespecifically,thispapersketchestheextenttowhichdataprotectionlawsinteractswiththecriminalprocedurallawinordertoevaluatetheeffectivenessofpoliceandjudicialcooperation.Whenassessingtheindividual’sprivacyintheareaofcriminallaw,theconcernmustbetheextenttowhichcriminalproceduresareconstrainedbyarespectforprivacy.Oneofthebasicissuesistheadmissibilityofevidencefromlawenforcement-relateddatabases.
Dispensablehumansandindispensablemachinesinthecontextofclassandsocialcontrol
ZoranKandučInstituteofCriminologyattheFacultyofLaw
Thepaperdealswiththeuse,orratherwiththeabuse,of(both“smart”and“stupid”)machinesasthemeanscontrolling(anddisciplining)workingclass(individualswhohavetoselltheirworkingpowertotheprivateorpublicmasterinordertogetthemoneytheyneedforliving),workersin(formalandinformal)workplaces,consumersandcitizens.Inparticular,weemphasizetheroleof“labour-saving”technology(astheresultofmodernscience)intheclassandimperialist(dubbedas“anti-terrorist”)war(infine,inthewaroftherichagainst“therestoftheworld”),i.e.inthedestructiveandirrationalcapitalisteconomy(functioningasgiganticanonymous“automaton”or,inMarx’swords,“automatedsubject”),anditsreproductionandtransformation.Obviously,machinescaneasilysubstitutehumans,becausetheyalreadyfunctionasquasiautomata,personificationsofspecificeconomiccategoriesandfollowingthedominanttypeofrationality(“algorithms”)imposedonthembythecapitalistsocialrelationshipsandstructures(existinginthemintheformofpersonaldispositions,attitudes,desires,beliefs,andaspirations).Yet,humans–workinginprivateenterprises(tyrannies)orrepressivestateapparatuses–areproblematicbecauseoftheir“alltoohuman”characteristics,notjustemotions,passionsorvices(e.g.“laziness”orevenallergytowork),butpotentialityoractualityofdisobedience,i.e.thepossibilityofsaying“No!”tothemastersoreventofightagainsttheminordertodestroytheireconomic,political,legal,andideological(orcultural)power.Machinesmayhavesomedeficienciesorimperfections,buttheyhaveonecrucialquality.Namely,theyarealwaysobedienttothemasters.Moreover,theyaretheincreasinglyimportantreasonforfearfulandshamefulobedience(orevengrotesqueconformism)offormallyandinformallyemployed“voluntaryslaves”(orrather“auto-mobiles”),manyofwhom,nevertheless,managetofindjustifiablealibisinjoysobtainedfromcommercialgoods,e.g.privatecars,TVsets,personalcomputers,mobilephones,orlegalandillegalpsycho-activesubstances.Ofcourse,thetechnology(eveninitsmostadvanced,“smart”or“intelligent”forms)isbynomeansinvincible.Andwhatismore,therich–asthelegal,butnotlegitimaterulersoftheworld–canbedefeatedevenmoreeasily.They,ofcourse,havealotofmoney(withwhichtheycanbuyhumans),butitisnotreallytheirs.Itisstolen,albeitlegally.Anditisorremainstheirsprimarilybecauseofthestateforceandomnipresenteconomicandlegalpropagandafulling“enoughpeopleenoughtime”.Sothemainproblemseemstobehumanstupidity,notasinborncharacteristic,butassociallyconstructedandpermanentlyreproduced.Isitinsuperable,sothatthereisreallyjustonealternative?
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EconomicCyberEspionageandRegulationofBigDataTheftattheInternationalLevel
MašaKovičDineFacultyofLaw,UniversityofLjubljana
Manygovernmentsareresortingtosomesortofeconomiccyberespionage/exploitationforvariousreasons.WiththedevelopmentofInternettechnologies,ithasbecomeeasierandmoreinexpensivetocarryoutdatatheft.ThebenefitsofsuchtheftincludeimportantcompetitiveadvantagesontheglobalisedmarketbothforbenefitingcompaniesasforthesponsoringStates.Atthesametime,suchtheftcausesseriousdamagetothetargetedcompany,mostlyinthelossofprofitandalossofyearsofresearchanddevelopment.Asthetopicisarelativelynewissueininternationallaw,fewattemptsatregulationhavebeenmade.Mostlyduetothefactthatallstatesresorttosomesortofespionage.However,theconsequencesofthefailuretoregulateeconomiccyber-exploitationareserious,renderinganeedforitsregulationattheinternationallevel.Economiccyber-exploitationischaracteristicallysimilartopillageofnaturalresources.Thusthelawonprohibitionofpillagecouldprovideabasisfordesigningtheregulationoneconomiccyber-exploitationandprohibitsuchactivities.Theftistheft,howeveritiscarriedoutandwhatevertheinformationthatisstolen.Wheneconomiccyber-exploitationistakingplaceamongstates,aninternationalresponseisnecessary.
Findingtherightbalancebetweensecurityandprivacy:NATOandthebigdataanalysesMitkoBogdanoski,MetodiHadji-Janev
Militaryacademy“GeneralMihailoApostolski-Skopje”
DuringitslastChiefoftransformationconferenceheldinNorfolkin2016NATO’schiefsoftransformationhaverecognizedthatbigdataphenomenonhasbecomeoneofthemostpromisingandprevailingtechnologytopredictfuturetrends.BigdataanalysesmayenableNATOtoautomaticallyprocessandextractvaluableinsights,predictpatternsandenhancedecisionmaking.However,putinthecontextofNATO’scommitmenttorespectinternationallawbigdataanalysesraiseseriousconcernswithregardstotheindividualfreedomsingeneralandpersonaldataprotectioninmorespecificsense.
ThepaperwillbrieflyexplainhowbigdataanalyzesmayenhanceNATO’smissionaccomplishment.Itwillthenevaluatehowandwhyfindingtherightbalancebetweensecurityandindividualfreedoms(especiallypersonaldataprotection)areessentialforNATO’smissionaccomplishmentwhileemployingbigdataanalyses.
FiveReasonsNottoPersonifyAI
JoannaJ.BrysonUniversityofBathandCenterforInformationTechnologyPolicyatPrincetonUniversity
ArtificialIntelligenceisoftentreatedasanalienforceoranunruly,potentiallydangerouschild.Infact,AIisjustaspecialcaseofcomputationbeingcommodified,whichistosaythatthemeansbywhichAIischangingsocietyarenottrivial,butarelesstransparentthansimpleopposition.Intelligenceisthetriggeringofappropriateactionsinresponsetoperceivedevents.Informationtechnologyhasbeenallowinghumanstoenhanceourcapacitytodothisarguablyforthousandsofyears.Itallowsustobothrememberandperceivemorethanwecouldasindividuals,whichinturnallowsustoinnovateatcooperateinunprecedentedways,sometimesattheexpenseofeachother,othergroupsortherestoftheecosystem.
InthistalkIestablishaclear,science-based,functionalistdefinitionofintelligence,andartificialintelligence,demonstratingfromthisthatconcernsaboutartificialgeneralintelligenceandsuperintelligencearemisguided,thoughindifferentways.ThenIwilltalkabouteffortstoregulateAI,withafocusontheBritisheffortsgoingbacksixyearsnowwiththePrinciplesofRobotics.FinallyIwilladdresswhyweshouldnot
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constructAItobelegalormoralagents–notbecausesuchconstructionisimpossible,butbecauseitisilladvisedandeasilyavoided,atleastforcommercialproducts.
HealthcareRobotsandtheRighttoPrivacy
TjašaZapušekUniversityofCopenhagen,FacultyofLaw
Thepaperrevealsauthor’spersonalconclusionsderivedfromthefactthatanincreasingautonomyofrobotsisnotasciencefiction,yetitpresentsanotoriousfeatureofmodernerathatrequiresacomprehensiveandsystematiclegalapproach.However,aEuropeanParliaments’recentlyissuedrecommendationtoconsiderrobotsaselectronicpersonsseemsinappropriatefromhumanrightsperspectiveandmayreflectinseriousviolationsoffundamentalrightsattachedtoallhumanbeings.Thisarticlefocusesonnegativeaftermathsofautomatonandtheimpacttheyhaveonhealthlawandtherighttoprivacy.Thefundamentalprincipleofhealthcareethics,aprotectionofpatient’sclinicalrecordspresentsacornerstoneofdoctor-patientconfidentialrelationship.Thelatteris,duetoitsimportance,protectednotonlybynationalhealthlegislations,yetalsobyArticle8oftheEuropeanConventiononHumanRights,Righttoprivacy.Amongthelatestmedicalachievementsistherevelationofthealternativetoapersoninawhitecoat,arobotthatcanperformthesurgerycompletelyonitsown,hasindividualsessionswithautisticpersonsetc.Asalreadymentioned,medicineisaprofessionthatrequiresacertainlevelofmaintenanceofsecrecyofconfidentialinformationandaccordingtothepreviousCourt’sdecisionsthesecrecyisevenmoreimportantincasesthatinvolvespsychiatricrecords.Therobots’involvementinmedicaltreatmentsononehandandeasyaccesstotheinformationtheygainduringthetreatmentontheother,bringintoquestiontheeffectivenessoftheprovisionsofArticle8oftheEuropeanConventiononHumanRights.Lawallowsindividuals,pledgedtosecrecytobypasstheprovisionsofArticle8(2)oftheECHR.Thementionedparagraphstates,thatanydisclosuremustbeinaccordancewiththelawandhavelegitimatepurpose,moreoverithastobeproportionateinaccordancewiththelawandnecessarypursuanttothedemocraticsociety.
Thepresenceofrobotdoctorsrisesmanyquestionssuchas,whatkindofconsequenceswillhavethedisclosurebyrobotdoctors?Doesitmeanthatrobotsare/willbecapableofevaluatingtheimportanceofparticularinformationandthereforewillitpossessamoralsense?Or,willarobot,duetoitsmechanicalnaturebeusedasasimpletoolinordertogainsomeimportantinformationthathavebeensavedontheitsdisc?
Currentlegislationsincountriesaroundtheworlddonotputmuchattentiononthisparticulararea,eventhoughthemodernroboticapproacheshavealreadybeenintroducedandalsoverywellaccepted.
Hidinglargeamountsofdatainvirtualdiskimages
GašperFele-Žorž,AndrejBrodnik,FacultyofComputerandInformationScience,UniversityofLjubljana
Overthepastfewdecades,multiplemethodsforhidingdatainonharddriveshavebeendevised.Mostofthesedependonunallocatedspaceeitherbetweenorwithinfilesystems.
Sincemethodsforhidingdatamayalsobeusedbycriminals,theyareofinteresttodigitalforensicinvestigators.Toolsusedbyinvestigatorsthereforeusuallysupportfeatureswhichcanbeusedtoinspectdatawithinplaceswheredatamaybehidden,suchasdeletedfiles,unallocatedsectorsoralternatedatastreams.
Widelyavailablevirtualizationofandonpersonalcomputerscanbeusedtosupportoldsoftwarewhichmightotherwisenotrunonmodernhardware.Virtualizationisalsoessentialindevelopinglow-levelsoftware,such
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asoperatingsystems,andisanessentialcomponentofallsolutionsforcloudcomputing.Virtualizationtechnologiesarethereforewidelyusedandwilllikelyremainpopularintheforeseeablefuture.Withvirtualcomputersitisoftenmoreconvenienttousefilesasvirtualharddrivesinsteadofphysicaldisks.Thesefilesaretypicallylarge,sodatacouldpotentiallybehiddenwithinthem,dependingonthevirtualdiskimageformat.
Wehaveanalyzedthemostpopularvirtualdiskimagefileformatsanddevisedthreegeneralapproachesforhidingdatawithinsuchfiles.Twooftheseapproachesallowlargeamountsofdatatobehidden.Thehiddendataisunlikelytobedetectedbycurrentdigitalforensicstools.Newtechniquesandprocedureswillhavetobedevelopedtodetectsuchdata.
Wehaveimplementedoneoftheapproacheswhichcanbeusedtostorepracticallyunlimitedamountsofdatainalibrarywhichisfreelyavailable.
HowAretheAustralianMetadataLawsAffectingtheAverageSocialMediaUser?CarolinaAre
UniversityofSydney
ThispaperanalysestheincreasedsurveillancetheAustralianpopulationhasexperiencedaftertheterroristattacksof9/11.ExaminingtheTelecommunications(InterceptionandAccess)Amendment(DataRetention)Act2015No.39,2015,alsoknownas‘metadatalaws’,thisresearchattemptstoidentifythereasonsbehindthisincreasedsurveillanceintheeraofIslamicState(ISIS)’sthoroughuseofsocialmediaplatformstoinciteandrecruitnewterrorists(Klausen2015;SternandBerger2015).ExaminingthenecessityandproportionalityofthelawsinaccordancewiththeUnitedNations’(UN)UniversalDeclarationofHumanRights(UDHR)(UN1948),thispapersetsouttoestablishhowtheaveragesocialmediasavvycitizenislikelytobeaffectedbythisrestrictiveandconservativeturnintheAustraliancriminaljusticeandanti-terrorismlandscape.Itisexpectedthatcrackingdownonaveragesocialnetworkusersinordertospotandpunishterroristorganisationsandtheirunlawfuluseoftheinternetandsocialmediaislikelytoproducemixed,ifnotunsuccessful,results.
Howdopublicsectorvaluesgetintopublicsectormachinelearningsystems,ifatall?
MichaelVealeUniversityCollegeLondon
Moremachinelearningalgorithm–powereddecision-supportsystemsarepilotedanddeployedinthepublicsectoreachdaytohelpdetectindividualsandcorporatewrongdoinginareassuchastaxation,childprotectionandpolicing.Whilesomewelcomethistrendasthedawnofmoreevidence-basedadministrativedecision-making,othersworrythattheopacityandperceivedobjectivityofsuchsystemsusherinunwantedbiasesthroughthebackdoorjustastheykickdueprocessout.
Studiesofthesesystemshaveprimarilyattemptedtolook-inorreverse-engineerthemfromtheoutside,missingthepeoplethatobtain,deployandmanagethesetechnologieswithindiverseinstitutionalcontexts.Tohelpfillthisgap,25publicservantsandtechnologistsfromdifferentsectorsandcountriesinvolvedinpublicsectormachinelearningprojectswereidentifiedandinterviewed.Theywereaskedabouttheirexperienceswiththesetechnologies,focussingonhowtheyunderstoodandapproachedoperationalbarriersandethicalissuestheyencountered.Analysisoftheseinterviewsshowspromisingrolesforrecenttechnologicalapproachestoresponsibilityinthisfieldsuchas‘fairness-aware’orinterpretablemachinelearningsystems.Yettheseinterviewsalsoraisequestionsandissuesthatarebothcurrentlyunderemphasisedandunlikelytoberesolvedbytechnicalsolutionsalone.Thisresearchsuggeststhatgovernancemechanismsforapplied
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machine-learningmustbemoresensitivetoon-the-groundpressuresandcontextsiftheyaretosucceedinensuringnewdata-drivendecision-supportsystemsaresocietallybeneficial.
Individualcontroloverpersonaldatainthedata-driveneconomy
HelenaUršičCenterforLawandDigitalTechnologies,LeidenLawSchool
Controloverpersonaldataprocessingisanintegralpartofthefundamentalrighttopersonaldataprotection.Intheeraofbigdataandgrowingdigitaleconomy,datasubjectcontrolrightssuchastherighttoerasureandtherighttoaccessfaceimportantchallenges.Itisdisputablewhethernewcircumstancesstillallowformeaningfulcontroloverpersonaldataprocessing.Toanswerthisquestion,thecontributionathandexamineslegalframeworkforcommercialdatauseandreuse,payingspecialregardtotheprovisionsonindividualrights.Drawingonthisanalysis,itwillbeshownhowthemeaningofindividualrightsandtheirimplicationshavebeenchanginginthelightofbigdata.
Judicialoversightof(mass)collectingandprocessingofpersonaldataPrimožGorkič
FacultyofLaw,UniversityofLjubljana
Thepaperexploresdifferentapproachestosecuringjudicialoversightofcollectingandprocessingofpersonaldatainacriminaljusticesystem.ItfocusesontrafficcommunicationandDNAdata.Abriefcomparativeoverviewshowthattheneedtoestablishjudicialoversightverymuchcorrespondstothemannertherighttoprivacyisconceptualisedwithinaspecificjurisdiction.Ononeside,theUSreliesheavilyontheconceptofreasonableexpectationofprivacy(privacyassecrecy,Solove).Ontheotherside,Europeanjurisdictions-althoughnotuniformly-viewprivacyprotectionasanintegralpartofprotectingone'spersonhoodanddignity.ThepaperexplorestheclashofthetwocompetingconceptionswithinUSjurisdictions,particularlyaftertheSnowdenrevelations.Ingeneral,therecognitionoftheneedtoprovidejudicialoversightisgreaterinjurisdictionsthatviewprivacyinthecontextofprotectingone'spersonhood.Inthissense,thelevelofproceduralsafeguardsverymuchcorrespondstothesubstantiveunderstandingoftherighttoprivacy.
LimitsofthecurrentstateofArtificialIntelligenceforLawMarkoGrobelnikJozefStefanInstitute
ArtificialIntelligence(AI),despiteitsrecentsuccessesonseveralfronts,hasstillseriouslimitationswhenitcomestotheproblemsrelatedtothedeepunderstandingtheworld.Lawisanarea,wheremostlyshallowAIprobabilisticsolutionsarenotuseful.Asaconsequence,manyofthestandardroutines,wherehumansareperformingwell,arestillnotsolvablewiththecurrentAItechniquesandsystems.InthepresentationwewilltouchwhatarethelimitsofthecurrentAIandwhatisthereasonforthem.RecentsuccessesandpopularityofAIisoftenraisingexpectationswhattechnologycoulddo–inreality,manyofthe“impressive”technologicalsolutionsarebasedonshalloweffectswhichmachinelearning(asakeytoday’sAItechnology)cancapturefromthebigdata.Butthereisaseriousproblemonhowtheworldandthecontextisperceivedbythetechnology.WewillpresentathinlinebetweenwhatAItechnologycandoandwhatcannotdobasedoncurrentdevelopmentsandwherethislinecanmoveonthefutureandhowthelawcanbenefitoutofit.
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Livinglabsandbigdatainpractice:Stratumseind2.0-AdiscussionofalivinglabintheNetherlandsMasaGalic
TilburgInstituteforLaw,TechnologyandSociety(TilburgUniversity)
Livinglabprojectsarebecomingcommonpracticein(smart)citiesaroundtheworld.Theyrepresentaplatformandmethodologyfortechnologytestingandexperimentation,whichreliesonbigdataanalysisandincreasinglyshapeslifeinthecity.Asarelativelyrecentphenomenon,however,theyareunderresearched,lackingawidelyrecogniseddefinitionandtheoreticalframework.Theproliferationandgrowingimportanceofsuchurbantechnologicalprojectsdemandsamorethoroughanalysisanddisentanglementofthepracticeandtheconcept.Inordertoaddressthisneed,thispaperfirstpresentsalivinglabinpractice–theStratumseindLivingLab(partoftheStratumseind2.0project)inEindhoven,theNetherlands.TheStratumseindLivingLab,asmallerprojectinamiddle-sizedandupcomingEuropeancity,whichincludeslocalandglobaltechnologycompanies,servesasanillustrativeexampleofaEuropeanlivinglab,itsoperationanditspromises.ThesecondpartofthispaperexaminesacademicliteratureonlivinglabsandbrieflyanalyzestheoperationoftheStratumseindLivingLabprojectinviewofitspromises,particularlythosepertainingtotheideologicalrhetoricofbigdata.Basedontheexaminationoftheoryandthepracticalexample,thepaperconcludesthatsuchtechnologicalprojectscarrywiththemawiderangeofsocial,political,ethicalandlegalconcerns,whichthepartiesoftheStratumseindLivingLabprojectdonotengagewithseriouslyenough.Thepaceofdevelopmentandrolloutoflivinglab(andsmartcity)technologiesinEindhovenandbeyondisproceedingwellaheadofwiderreflection,critiqueandregulation.Suchactivityisfoolishanddangerousanddoesnotleadtogreatereffectivenessandlegitimacyofthevision.
NATO’sNewChallenge:Synchronizing“Dots”,“Bullets”and“Skills”
MitkoBogdanoskiandMetodiHadji-JanevMilitaryacademy“GeneralMihailoApostolski-Skopje”
Employingcyberspacetoachievestrategicendsviaahybridmodeofthewarfarestateandnon-stateactorsthreatenNATOlikeneverbefore.Understandingtheevolvingcomplexthreatenvironmenton14June2016,NATO’sdefenseministersagreedtorecognizecyberspaceasadomainattheupcomingWarsawSummit.DuringtheWarsawSummitasanadditiontotheexistingoperationaldomainsofair,seaandland,cyberspacewasofficiallyrecognizedasanewoperationaldomain.AlthoughthisdecisiondoesnotchangeNATO’smissionormandateitrequiressignificantdiplomatic,economic,operationalandinformationaleffortstosynchronizethe“dots”,“bullets”and“skills”.Therearethreereasonsforthis.First,notallNATOmembers,nottospeakpartnernations,havethesamecybercapacities.Second,relatedtoformer,notallmemberstateshavethesameperceptionwhenitcomestocyberthreats.Thirdreasonstemsfromtheoperationalneed.
ThearticlewillfirstexplainthesecuritythreatlandscapethatNATOisfacingfromcyberspaceandwillprovideevidenceswhyNATOandpartnernationsneedtoconsidercyberthreatsasaseriousnationalsecuritythreat.Then,usingthecomplexsystemanalysisthearticlewillexplainthereasonsstrategic,legalandtechnicalpointofviewforthemainargumenti.e.tosynchronizethe“dots”,“bullets”and“skills”.Particularly,thearticlewillanalyzetheimportanceofbuildingcyberdefensecapacitiesamongthepartnernations.FinallythearticlewillprovidesomerecommendationthatneedtobeconsideredbyNATOandpartnernations.
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Personaldataforcommongood:howtoprofitfromBigDatasustainably
NadyaPurtovaTilburgInstituteforLaw,Technology,andSociety,TilburgUniversity
ThepromisesofBigDataAnalyticsaregrandandtempting.Accesstothelargepoolsofdata,muchofwhichispersonal,issaidtobevitaliftheBigDatainitiativesaretosucceed.Theresultingrhetoricisofdatasharing.Thistalkexposes‘theotherside’ofdatasharingwhichoftenremainsinthedarkwhentheInformationIndustryandresearchersadvocateformorerelaxedrulesofdataaccessanduse:namely,thetalkframestheissueofpersonaldatauseintermsofthecommons,aresourcesharedbyagroupofappropriatorsandthereforesubjecttosocialdilemmasthathavetobeaddressediftheresourceuseistobesustainable.Thetalkwillarguethattheuncontrolleduseofthedatacommonswillultimatelyresultinanumberofthecommonsproblems,andelaboratesonthetwoproblemsinparticular:disempowermentoftheindividualvis-à-vistheInformationIndustry,andtheenclosureofdatabyafewInformationIndustryactors.
PersonalDataProtectioninSocialSciencesinBigDataEra
JanezŠtebe,SonjaBezjak,IrenaBolkoandAnaSlavecArhivdružboslovnihpodatkov
Thedevelopmentofdigitaltechnologiesfostersnewtypesofdata,researchapproachesandmethodologiesaswellassignificantlyincreasedtheamountofdatainterestingforsocialsciences.However,italsoraisesseverelegal,ethicalandqualityissues.TheSocialScienceDataArchivesattheUniversityofLjubljana(Arhivdružboslovnihpodatkov-ADP)isinvolvedintheSERISS(SynergiesforEurope’sresearchInfrastructureintheSocialSciences),internationalprojectthatconnectsleadingEuropeanresearchinfrastructures.InoneofthetaskstheADPtogetherwithprojectpartnersconductedtheliteraturereviewonhowsocialmediadata(Twitter,Facebook,Snapchat,etc.)isalreadyusedinsocialscientificresearchandhowlegalandethicalchallengesarediscussedinthefield.Basedon20yearsofexperienceindatacurationandpreservationweidentifiedquestionsrelatedtodifferentphasesoftheresearchdatalifecycle.Sincesocialmediadataisnotcreatedforresearchpurposes,oneofthemainissuesisobtainingparticipants’informedconsenttoreusedata.Consentisnolongerrequestedonlybyresearchethicscommittees,butitwillbecomearequirementwiththeimplementationofthenewGDPR.Althoughsocialmediadataisoftenpubliclyavailable,researchersdon’thaveanexplicitinformedconsenttocollectandanalysetheirdatanorthatcantheylinkitwithothersourcesorreuseitbeyondtheoriginalpurposeofdatacollection.Asadataarchive,ADPisparticularlyinterestedinfindingalegalsolutionfordatatobestored,curatedanddisseminatedinthelongterm.Severalquestionsarise,fromdeterminingdataownershiptotimelimitsfordatastorageanddocumentation,aswellastoenableresearcherstolinkdatafromdifferentprovenance(e.g.officialstatistics,socialmediadata,historicalandhealthdata).Theresearchcommunityneedstorecognisethegapbetweenresearchinterestsandlawsandethicspolicies,andfindabalancebetweenresearchfreedomandtheprotectionofrespondents.
Pricing(big)data:therighttoknowthevalueofourownpersonaldata
GianclaudioMalgieriVrijeUniversiteitBrussel-LSTSresearchgroup
ThecommodificationofdigitalidentitiesisanemergingrealityinourBigDataera:personaldataofindividualshavehighvalueinthedata-driveneconomyandareoftenconsideredacounterperformancefor“free”digitalservicesorfor“discounts”ininsurances.Aneffortthatcanincreaseawarenessandcontrollershipofconsumers/usersontheirownpersonalinformationcouldbemakingthemawareofthe“price”oftheirpersonaldata,sothattheycanacquirehigherawarenessabouttheirpowerinthedigitalmarket.
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Inordertofindobjectiveparametersforquantifyingdata,weproposetocombinetwomethods:a)atop-downapproach(thepriceofpersonaldata“demand”),i.e.thepricethatcompaniesgenerallypayforpersonaldataofindividuals(turnoverfromonlineads);andab)bottom-upapproach(thepriceofpersonaldatasupply),basedona“reverseliability”paradigm,i.e.measuringthe“value”ofpersonaldataintermsofdamagetoprivacyor“lossofprivacy”andalsointermsofincreaseofconsumerasymmetry.
Secondly,itisnecessarytofindhowthis“pricing”ofpersonaldatacanbeintroducedinthedigitalmarket.Weproposetoaddanewspecificdutyofinformationatarticle13oftheEUGeneralDataProtectionRegulation:ineachdataprocessingwherethevalueofcustomers’personaldataisrelevantfortheeconomictransaction,thepriceofthesedata(calculatedonobjectiveparameters)shouldbecommunicatedtotheconsumer.
Actually,personaldatadonothavethesamevalueforeachindividual.Subjectshavingalowerpropensitytoconsumeandpresumablylowerincomeshaveless“valuable”datathanotherconsumersandcouldhaveworsecontractualconditions.
Accordingly,inordertoavoiddiscriminationbasedonthevalueofpersonaldata,weproposetoincludethepropensitytoconsumeandtheeconomicconditionsofdatasubjectswithinthe“specialcategoriesofdata”atArt.9GDPR.
ProtectingIndividualRightsWithBasicToolsintheHigh-TechEra
SorinaIoanaDorogaWestUniversityofTimisoara
Intheeraofever-expandingdigitalmarketsandsurprisingadvancementsintechnology,itishardlysurprisingthatlawseems,attimes,unabletokeepup.Withtheincreasinguseofbigdatainalargenumberofsectors–bothintheprivate,aswellasinthegovernmentalsphere–mosttransactionsandoperationstakeplaceintheabsenceoftheconcernedindividualswhosedataisactuallybeingcollectedandprocessed.Thisraisesissuesrelatingnotonlytotheinsufficiency(orrather,inadequacy)ofbigdataregulation,butalsototheeffectivenessofexistingmechanismsoflegalprotectionfordatasubjects.Thepresentpaperdealswithconcernsrelatingtotheprotectionofindividualrightsinthecontextofdataprocessing,bytacklingtheissuesofinformedconsent,aswellaseffectiveremediesavailabletodatasubjectsunderinternationalhumanrightsinstruments.WhileitisacknowledgedthatspecificrulesavailableatnationalandEUlevelmightproveattimestobeinsufficientlyprecise(orflexible,insomecases)soastooffereffectiveprotectionofrightssuchasprivacyorfreedomofexpressionofdatasubjects,weattempttolookbackatthecoreprinciplesunderhumanrightsinstruments,whichcouldbeemployedinordertocoverexistingregulatorygaps.Tothisend,acomparativeanalysisoftheEUandUScase-lawconcerningtheinteractionofbigdatawithprivacyandexpressionrightsprovidesausefultoolinidentifyingthelegalstandardsthatcouldhelpstrikeafairbalancebetweenthelegitimateinterestsintheuseofdataandtheprotectionofindividualfreedoms.ThespecificitiesoftheinterplaybetweentherighttoprivacyandthefreedomofexpressionintheEuropeanandUSlegalculturesalsocreateafertilegroundforidentifyingpotentialsolutionsforimprovingexistingdataregulations.
Reconfiguringfreedom:Bigdata,theInvestigatoryPowersAct2016andtheconstructionoflibertyintheUK’ssecuritystate.
LydiaMorganUniversityofBirmingham
TheUK’sInvestigatoryPowersAct2016putsanumberoftroublingpowersonstatutoryfootingandexpandsotheralreadyexistingpowersundertheguiseoflegislativerationalisation.Oneoftheprinciplesatitscoreisapreventativeratherthanpunitiveapproachterrorismandseriouscrimesupportedbytheideaofsecurityas
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centraltothenationalinterest.Bigdataisgatheredbyandonbehalfofthestateandutilisedtomonitor,predictandprosecutepreparatoryactivities.Insodoing,avarietyofformsoffreedomarecurtailed.Thispaperexploresthewaysinwhichthisreconfigurestheideaoffreedominthe21stcentury,blendingapproachesfrompubliclawandpoliticaltheory.Itsuggestssecurityisnowprivilegedoverfreedomratherthanbeingsoughttopursueit.Thisunnecessarilyrestrictsevennegativelibertyandhaslittlerecognitionoftheimpactonautonomyandagency.
SlavetotheAlgo-rhythm?LegalandtechnologicalstickingpointsconcerningmachinelearningandtheGDPR
LilianEdwardsandMichaelVealeStrathclydeUniversity,UCL
Moremachinelearningalgorithm–poweredsystemsaredeployedeachdayinareasthatnowincludeemployment,policing,marketing,pricediscrimination,healthintervention,onlinenewscuration,taxfraudpredictionandchildprotection.Somewelcomethistrendofdata-drivendecision-makinganddecision-support,whileothersworrythattheopacityandperceivedobjectivityofsuchsystemsusherinunwantedbiasesthroughthebackdooratthesametimeastheykickdueprocessout.TheGDPRoffersarangeofrights—somenew,somesimplyrehashed—thatmanyhopewillhelpthemnavigatethisnewalgorithmicgovernancesocietyinthecourts.Yetasthispaperwilldiscuss,whenconsideringtheGDPRinthecontextofmachinelearningusingbothalegalandacomputersciencelenstheserightsdonotappearstraightforwardtounderstandorimplement.
Anallegednew“righttoanexplanation”(art13)—whichhasactuallyexistedinsimilarformintheDPDsince1995—hasbothlegalandtechnicalcaveats.Legally,therehasalwaysbeenacarveoutfromtherightfortheprotectionoftradesecretsandintellectualproperty,whichprobablyexplainsitslackofhistoricaluseintheEU.Recital63oftheGDPRdoeshowevernowcounselthatthisshouldnotjustify“arefusaltoprovideallinformationtothedatasubject”[emphasisadded].
Providing“meaningfulinformationaboutthelogic”ofadvancedmachinelearningmodelsisrarelytechnicallypossible.Themaintechniquesproposedtodaybycomputerscientiststoeffectively‘explain’neuralnetworks,theirinnardsblack-boxedeventotheirdesigners,wrapsimplermodelsoptimisedforanexplanationaroundmorecomplexonestoestimatecorelogics:so-called‘pedagogicalinterpretation’.Yetsuchsimplemodelsarejustthat—simple—thereforeoftenfailingto‘explain’thefringecasesthatarethemostlikelytoleadindividualstocallupontheirGDPRrights.
Therighttonotbesubjecttoalgorithmicdecision-making(art22)–againnotnewbutextendedfromanearlierrightintheDPD,art15–seemspromising,butisrepletewithexemptionsandonlyvalid(a)incasesofautomatedprocessingproducinglegalorsimilarsignificanteffectsand(b)wheretheeffectwassolelybasedonautomatedprocessing.Machinelearninginhigh-stakescontextsisalmostalwaysdeployedasdecision-supportratherthanpurelyautomateddecision-makingandtheGDPRlacksthenuancesnecessarytoestablishwhetherahumanwasseriously‘in-the-loop’.
Similarissuesarisearoundexistingrightstoa“righttodataportability”(art20),deletionand“tobeforgotten”(erasure,art17)withproblemsalsoforeseeablegiventheongoingdebateonwhenpersonaldataceasestobesobyvirtueofanonymization/pseudonymisation..Whatrightdoesadatasubjecthavetotheseinrespectofinferreddata?
Weconcludebyaskingifweareallcondemnedtobeslavestothealgo-rhythm?
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Sloveniancriminalintelligenceactivityandprotectionofprivacy
SabinaZgagaConstitutionalCourtoftheRepublicofSlovenia
Recentlytendencycouldbenoticedthattheintelligencepowersofnotonlynationalintelligenceandsecurityagencies,butthatofregularpoliceshouldbeempowered,alsowithintenttogatherevidenceforsubsequentcriminalprosecution.ThistrendcouldberecognisedalsoinSlovenia.Itisconnectedtodatamining,sincethepoliceintelligenceactivityincludestheacquisition,assessmentandanalysisofpersonalandotherdataaboutcriminalactivityofnaturalandlegalpersonsandcriminalassociationsaccordingtopolicelegislation.Basedonthis,theprocessofdecision-makingandplanningofpoliceactivityregardingcrimeprevention,detectionandinvestigationshouldbemade.Inthisframework,thePolicecangatherinformationfromallpublicsourcesandwithcooperationofpersons,whovoluntarilygivethepoliceoperationalinformationaboutcriminalacts,perpetratorsandotherrelevantactivities.Thisincreasedpoliceintelligenceactivityofcourseopensupalsonumerouslegalissuesandquestion.FromtheviewpointofcompatibilityofwithCriminalProcedureActitisalsoofgreatsignificance,whenthisintelligenceactivitytransformsintocriminalprocedure,inwhichstrongerencroachmentsofprivacyareallowed,butinwhichalsothestatusofasuspectcarriescertainlegalprotection.Andlast,butnotleast;itisessential,whetherthepoliceisallowedtouseitsown-alreadyexisting-officialrecordsofpersonaldata,oreventheofficialrecordsofpersonaldata,keptbyotherstateauthorities,sincetheSlovenianpersonaldataprotectionisrelativelystrict.Thispaperthereforeexploresdatamining,conductedbythePoliceduringitsintelligencepoliceactivityinSlovenia,anditslegallimits.
Socialnetwork,socialprofiling,predictivepolicing.CurrentissuesandfutureperspectivesFedericoCostantini
UniversitàdegliStudidiUdine
Networkanalysisisapowerfultoolthatisincreasinglyusednotonlytodetermineeventsthatoccurredinthepast,butalsotopredictwhatmayhappeninthefuture.Thiscontributewilldiscusstheperspective,farfrombeingabstractorremote,thatsuchmethodsmaybeadoptedinordertoanticipatecrimes.Takingintoaccountcurrenttechnologies,presentlegalscienceandaccordingtotherecent“OnlifeManifesto”,herearetackledthreeissues,concerningrespectivelytheepistemological,thelegal-philosophicalandtheanthropologicalaspect.Inthefirstplace,therelevanceoftheinformationprovidedinacrime’s“prediction”,sinceitdoesnotconcernaneventofthepast.Secondly,thenatureofresponsibilityascribedonthesegrounds,asneitheran“actusreo”nora“mensrea”canbefoundinthecase.Finally,thekindofpunishmentcouldbegiventothesupposedcriminal,becausefreewillshouldbedoubtedifhisbehaviourcouldbeforeseen.
State’sDueDiligenceinCyberspaceintheEraofBigDataVasilkaSancin
FacultyofLaw,UniversityofLjubljana
DuediligenceunderinternationallawexplainswhataresponsibleStateoughttodoundernormalconditionsinasituationwithitsbestpracticableandavailablemeans,withaviewtofulfillingitsinternationalobligation,andthusreferstoalevelofjudgement,care,prudenceand,determinationthataStatewouldreasonablybeexpectedtoundertakeunderparticularcircumstances.TheauthoraimstodiscussStates'duediligenceincyberspaceintheeraofbigdatathroughthethree-foldobligationofStates:toprevent,toinvestigateandtoprosecutethoseresponsibleforcyberattacks.TheanalysisdelvesupontheparadigmshiftininterpretingState'ssovereigntyincyberspace.Someofthewell-establishedprinciplesincertainareasofinternationallaw,
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suchasduediligenceininternationalenvironmentallawrelatingtopreventionoftransboundaryharm,areusedmutatismutandisasguidingprinciplesfortheapplicationofduediligenceincyberspace.Indiscussingthecontentsofduediligenceincyberspaceemphasisisgiventothedilemmassurroundingtheissuesofthresholdofemergingdamagefromtheattack,actualandconstructiveknowledgeofthestateandpossiblemeasuresthataStatecantakeinresponsetoacyberattack.
Thealluringpromiseofobjectivity:BigdataincriminaljusticeMojcaPlesničar
InstituteofCriminologyattheFacultyofLaw
Criminaljusticesystemshavelongaimedatpreventingjudges’subjectivityfromhavinganyimpactoninthecourtroom.Agood,yetcomplexexampleisthecaseofsentencing,whereanexampleoftryingtominimisejudges’subjectivityaretheinfamoussentencinggrids,usedbydifferentUSAjurisdictions,whichhaveenteredthesentencingstagepromisingtolimitjudicialdiscretionthuseliminatingjudges’subjectivityandconsequentlysentencingdisparity.Tosaythepromisewasnotquitekeptisanunderstatement.Othersystems,relyingonlessdetailedguidelinesorstatutoryregulationhaveleftmoreroomfortheindividualisationofsentences,butinparallelforsubjectivityaswell.
Amodernoptiontotackletheissuehasemergedwiththedevelopmentsinprocessingbigdata.Bigdatahassofarenteredcriminaljusticeatthreelevels:bail,sentencing,andparole.Theyallutilisealargeamountofpreviouslydecidedcasestobuildastrongalgorithmabletopredictthebestpossibleanswertothegivenquestioninaspecificcase.Theoutcomestheyofferaredata-drivenprobabilitiesofrequestedinstances.
Theclearanswerssuchalgorithmsareabletoproduceareveryalluring.Theybringpromisesofafairersystem:informeddecisionsdevoidofbiasandanykindofsubjectivity.Therearemanypotentialbenefitsofbringingtogethertechnologicalaccuracyandhumanempathy:suchdecisionscouldbemuchmoreaccurateandbasedonasoundanalysisofpredictivefactors.Seenasmoreobjective,suchalgorithmscouldinstilthelong-losttrustofthepublicinthefairnessofthecriminaljusticesystem.Moreover,theymaypresentanopportunitytopurposefullyre-shapethepenalsysteminordertoreflectprogressivevaluesandsupportamorehumaneoutlook.
However,therearesomeimportantconsiderationstobemadebeforeembarkingonthebig-data-saviour-of-justicewagonwhichwewilldiscussindetail.
Wedon’tknowwhattheQuestionsare,butweknowwe'regonnafindtheAnswersAlexanderCzadilek,ChristofTschohlandWalterHötzendorfer
epicenter.works,ResearchInstituteVienna
BigDatahasbeendiscussedintheDataProtectionLawcommunityforseveralyearsnow.However,thebigquestionsstillremain.Inthispaper,wediscusssomeofthesequestions.Westronglybeliefthatdataprotectionisnotanendinitselfbutacatalysttoachievemorefundamentalaims.Therefore,wewillstartfromafundamental(andfundamentalrights)perspective,askingwhattheprotectivepurposeofDataProtectionLawactuallyisandwhatthatmeansforBigData.WewillthendelveintothenewlegislativeactsofEUDataProtectionLaw,theGeneralDataProtectionRegulation(Regulation(EU)2016/679,GDPR)andthePoliceandCriminalJusticeAuthoritiesDirective(Directive(EU)2016/680)toanalysetheirimplicationsontheuseofBigData.Akeypointhereistheprincipleofpurposelimitationandthenewrulesonfurtherprocessingforcompatiblepurposes(Art.5(1)(b)andArt.6(4)GDPR).
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Anotherimportantissueisprofilingandautomateddecisionmakingforlawenforcement,criminaljusticeandotherpurposesbasedonBigData.Here,notonlylegalaspectsbutalsotheimplicationsoffactualpsychologicalmechanismshavetobeconsidered,suchasanover-confidentbeliefintheresultscalculatedbysoftwaresystems(“machines”).Itmustalsobeconsideredwhetherresults,withbothnegativeandpositiveconsequencesforasuspect,aretakenup(principleofmaterialtruth).
Finally,weask,whetherandhowtheproblemswedescribedcanberesolved.Inourview,PrivacybyDesignwillplayamajorrole.Basedonourexperiencebothinresearchprojectsandcommercialprojectsweshowsomepracticalexamples.
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AbouttheVenue
FacultyofLaw,UniversityofLjubljana
Poljanskinasip2SI-1000Ljubljana
TheFacultyofLawissituatedinthecenterofLjubljana,bytheDragonBridgeoverriverLjubljanica.
Locationonthemapofthecity
Linktotheofficialweb-siteoftheFacultyofLaw:W:http://www.pf.uni-lj.si/en/
Theorganizinginstitutions:
InstituteofCriminologyattheFacultyofLawLjubljanaand
FacultyofLaw,UniversityofLjubljana
Poljanskinasip2,1000Ljubljana,Slovenia
W:http://inst-krim.si/en/
Onbehalfoftheorganizer:
AssociateProf.Dr.AlešZavršnik
Thecity
LjubljanaisthelovelycapitalofSlovenia.Thecharmingcitycoversasurfaceareaof275km2andhasapopulationofabout276,000.Thecitycentre,abundantinculturalandarchitecturalpearlscanbeexploredbyfeetandthevarietyofpubs,barsandrestaurantsbythebanksoftheriverLjubljanica
offerapleasantexperienceattheendoftheday.
ForinformationonLjubljanayoumaycheckthefollowing:http://www.ljubljana.info/
http://www.ljubljana-calling.com/ENG/index.asp
Slovenia
SloveniaisayoungEuropeancountrywiththepopulationofalmosttwomillion.Inspiteofitssizeitoffersamixtureofgeographicalandculturalfeatures,fromthesunnyAlpstothegreen
Mediterranean,fromthePannonianfieldstotheKarststones.Becauseofitssizetheyareallwithinyourarm’sreach.
ForinformationonSlovenia,pleaserefertothefollowingweb-sites:http://www.slovenia.info/
http://en.wikipedia.org/wiki/Slovenia
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MapoftheBuildingoftheFacultyofLaw
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VENUE:FacultyofLawinLjubljana
(FacultyofLaw,UniversityofLjubljana,Poljanskinasip2,1000Ljubljana,Slovenia)
TheFacultyofLaw,establishedin1919,isoneofthefoundingfacultiesoftheUniversityofLjubljanaandthelargestlawfacultyinSlovenia.Eversince,theFacultyhasoffereditsstudentsanintellectuallyexcitinglearningenvironmentwithhighacademicstandardsatundergraduateandpostgraduatelevels,promotingbothlegalknowledgeandcriticalthought.Today,itisnotonlytheoldestbutalsothelargestand–byanymeasure–thebestlawfacultyinSlovenia.TheFacultyboastsalargeteachingstaffworkinginninedepartments,sixfurtherassociatedresearchinstitutesandthemostextensivelawlibraryintheregion.GraduatesoftheLjubljanaFacultyofLawgoontoassumeimportantpositionsinsocietyandshapetheSlovenianlegalsystemandpractice,buttheFacultyalsonurturesitsinternationaloutlookandreputation.ThisisshownnotonlyintheEuropean,comparativeandinternationalfocusembodiedinstudyprogrammes,butalsointhehighmobilityofstudentsandteachingstaff,frequentvisitinglecturersandotherdistinguishedguests,successfulparticipationininternationalstudentcompetitionsandagrowingportfolioofinternationalconferencesandsimilareventstakingplaceattheFaculty.
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Venue:FacultyofLaw,UniversityofLjubljanalocation
TheconferencewilltakeplaceintheseminarsandlectureroomsatthegroundflooroftheFacultyofLaw.TherewillbeindicationsattheentranceoftheFacultytoindicatewayforparticipants.
WIFIaccess
FreeWIFIwillbeavailabletoallparticipantsoftheBigdata:NewChallengesforLawandEthicsconference.Allnecessaryinformationonthiswillbeprovidedforwhenparticipantsarrivetothevenue.EDUROAMnetworkisavailable.
Cafeteria
Theorganiserswillprovideforcoffeebreaksfortheparticipantsduringbreaks.TheFacultycafeteriaisalsoavailabletoparticipants,itisopenfrom8amto15pm.Therearealsoshops(e.g.Spar)nearbyFacultywhereparticipantswillbeabletopurchasetheirownfood.
ContactInformation
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HOSTCITY:Ljubljana
(Source:http://www.ljubljana.guide/how-to-travel/travel-to-ljubljana/)
Ljubljana,thecapitalofSlovenia,isthepoliticalandculturalheartoftheSloveniannation.Itisclassifiedasamid-sizedEuropeancity,buthaspreserveditssmall-townfriendlinessandrelaxedatmospherewhileprovidingallthefacilitiesofamoderncapital.Ljubljanaisauniquecitydottedwithpleasantpicturesqueplaceswhereyoucanexpectallkindsofnicelittlesurprises.ItisanimportantEuropeancommercial,business,exhibitionandcongressionalcentreaswellasthetransport,scienceandeducationcentreofSlovenia.
Whetheryou'retakingastrolldowntheCongresssquareoralongsideriverbanksyoucanfeelandseetheatmospherethatsurroundsthebeautifulbutyetsmallcitycentre.Todayscientistsaredrawntothecitybecauseofitshigh-calibreinstitutesanduniversity,ofwhichespeciallylawschoolandmedicalschoolareatoppickintheregion,asareartistsduetoitsworld-famousgraphicbiennial,artacademyandcountlessartgalleries.Internationalbusinessmen,economistsandexpertsfromallfieldsfrequentlyattendthecity'smanybusinessandcongressionalmeetings,exhibitionsandtradefairs.
Ljubljanaisalsoacityofculture.Itishometonumeroustheatres,museumsandgalleries,andhostsoneoftheoldestphilharmonicorchestrasintheworld.ForthepeopleofLjubljana,cultureisawayofliving.Over10,000culturaleventstakeplaceinthecityeveryyear,amongwhichthereare10internationalfestivals.
Forfurtherinformationpleasevisit:https://www.visitljubljana.com/en/visitors/
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OTHERIMPORTANTINFORMATION
Currency
SloveniaisaEuropeanUnionmemberstatethereforetheofficialcurrencyistheeuro(€).Itwasintroducedatthebeginningof2007.Mostshopsacrossthecountryacceptinternationalcreditanddebitcards.Sloveniahasawidespreadcashmachinenetwork.
MedicalAssistance
Pharmacies:Incaseofminorhealthproblemssuchascolds,headaches,temperatureabovenormal,andinsectbites,medicinescanbeobtainedfrompharmaciesalsowithoutaprescription.TherearenumerouspharmaciesinLjubljana,whichareopenfrom8.00amuntil19.00pm.TheLekarnapriPoliklinikidutypharmacyisopen24hoursaday,sevendaysaweek(Address:Njegoševacesta6k,1000Ljubljana,tel.:+386(0)12306100).
Emergencymedicalservices:
• Forrescueandemergencyservices,callthefreephonenumber112.
• 24-houremergencyGPservicesforadultsareprovidedbytheEmergencyUnitoftheLjubljanaUniversityMedicalCentre,entrancefromtheBohoričevaulicastreet,1000Ljubljana.
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