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• Informa4onEcosystem• Simpleexamplesofinforma4onmanipula4on• Informa4onapocalypsescenarios• AdvancedAItechnologies• AI-supportedimpersona4on• Copingwiththethreat• Poli4ciza4onofinforma4ontechnology• Copingwithmisuseofsocialmedia
Lect184/4/18 ©JESavage 2
Informa4onEcosystem
• Dosocialmediapriori4zeclicks,shares,likesandadsoverqualityinforma4on?– Doesthisresultinamplifica4onof“fakenews?”
• Hasacri4calthresholdofaddic4veandtoxicmisinforma4onbeenreached?– Willfaithinfactsbelostonthealtaroftechnology?
• In2016AvivOvadyapredicted*wereachedthepointofinforma4onapocalypseorInfocalypse!
Lect184/4/18 ©JESavage 3
*h^ps://www.buzzfeed.com/charliewarzel/the-terrifying-future-of-fake-news
Informa4onEcosystem
• SocialmediatoolscoupledwithAIallowusto– Enhanceanddistortreality– Createnewreali4es– Launchinfluencecampaigns– Amplifyreac4ons,e.g.viatrollsandbots– Todoallofthisatadistance
• Consequence:– Misinforma4on– Propaganda
Lect184/4/18 ©JESavage 4
TrollsandBots
• NewYorkTimesvideoexplainingtrolls&bots:– h^ps://www.ny4mes.com/video/us/poli4cs/100000005414346/how-russian-bots-and-trolls-invade-our-lives-and-elec4ons.html(5:03)
Lect184/4/18 ©JESavage 5
ExamplesofAr4ficialOutputs
• Changingaudioinavideo*– h^ps://youtu.be/9Yq67CjDqvw(8:00)– Authorslearnmouthshapesfromspeech– Superimposeshapesonstockfootage
• Videoswithfullanimatedsuperimposedfaces†– h^ps://www.youtube.com/watch?v=ohmajJTcpNk(6:35)
Lect184/4/18 ©JESavage 6
*h^p://grail.cs.washington.edu/projects/AudioToObama/siggraph17_obama.pdf
†h^p://niessnerlab.org/projects/thies2016face.html
2016Predic4onsofAvivOvadya*
• Manyslick,easy-to-use,andpowerfultoolstomanipulatepercep4onandfalsifyrealitycoming
• Thesetoolswillprovidetheabilitytodistorttruthatwillandputcoreins4tu4onsatrisk!
• Ovadyaholdsposi4onsatU.MichiganCenterforSocialMediaResponsibilityandColumbiaUniversityCenterforDigitalJournalism.
Lect184/4/18 ©JESavage 7
*h^ps://www.buzzfeed.com/charliewarzel/the-terrifying-future-of-fake-news
Ovadya’sDisrup4veScenarios*
• Diplomacymanipula4on– CreatevideowithKimJungundeclaringwar– Thiswouldprecipitateadiploma4ccrisis
• Politysimula4on– Createafakegrassrootscampaign– Bombardlegislatorsofficeswithrealis4cpleas
• Laser(targeted)phishing– Spamusersw.realis4cfakemessagesfromfriends
Lect184/4/18 ©JESavage 8
*h^ps://www.buzzfeed.com/charliewarzel/the-terrifying-future-of-fake-news
AssaultonFCCPublicCommentSystem*
• In‘17FCCsolicitedpublicinputonnetneutrality– Requiredunder1946Administra4veProcedureAct
• 23millioncommentswerereceived– Morethanallpreviousgovernmentfeedback!
• SomecommentsgeneratedbyAI-drivenbots.– Somefake,somenot.Numberfakeisunknown
• Openplatormscanbesubvertedbybots– Congresswantsaninves4ga4on
Lect184/4/18 ©JESavage 9
*h^ps://www.wired.com/story/bots-broke-fcc-public-comment-system/
Wired’sAnalysisofFCCComments
• HelpedbyFiscalNote,itstudiespubliccommentsonbehalfofcorpora4ons.
• Large-scaleanalysis*es4mates>1millionfakes• Small-scaleanalysis†on39NicholasThompson– 6confirmedbots– 11formle^ers– 3realNicholasThompson– 19unknownsource
• Thisanalysissuggests>halfofcommentsfake
Lect184/4/18 ©JESavage 10
*h^ps://www.wired.com/story/bots-broke-fcc-public-comment-system/†h^ps://www.wired.com/story/bots-form-le^ers-humans-fcc-net-neutrality-comments/
AudioImpersona4on
• Realis4cimpersona4onofindividualsusingAdobe’s#VoCo– h^ps://youtu.be/I3l4XLZ59iw(7:20)
• Whatnefarioususescouldbemadeofthistechnology?
• Howcanweprotectourselves?
Lect184/4/18 ©JESavage 11
NeuralNetworks
• Ar4ficialneuralnetworks(ANNs)trainedtorecognizevarioustypesofdata,e.g.cats,words
• Inputsrepresentedbybits,suchaspixelsforimagesorfrequenciesandintensi4esforaudio.
• Outputsassociatedwithcategories
Lect184/4/18 ©JESavage 12
• Nodesvaluesareintegers,edgeshaveweights• Valuesmul4pliedbyweights,passedthroughnon-linearac4va4onfunc4on,givingintegers
• Weightsadjustedtomakeimproverecogni4on– Adjustmentsmadeviabackpropaga4onoferrors
NeuralNetworks
Lect184/4/18 ©JESavage 13
Mul4plelayerspossible
Genera4veAdversarialNetworks(GANs)
• GANsarepairsofcompe4ngneuralnets– Onenetgeneratesexamples– Secondnetevaluatestheexamples
• Compe44ondrivesnetstoimprove– E.g.counterfeitersvspolice
• GANswereinventedbyIanGoodfellowin2014tomakemachine-learningsystemssmarter– Themethodisunsupervised
Lect184/4/18 ©JESavage 14
CommentsontheThreat
• Anyonecouldmakeit“appearasifanythinghappened,regardlessofwhetheritdidornot.”– AvivOvadaya*
• GANshaveboth“imagina4onandintrospec4on”Theycouldsetnewsconsump4onback100years– IanGoodfellow
• Computa4onalpropagandaisnowareality!
Lect184/4/18 ©JESavage 15
*h^ps://www.buzzfeed.com/charliewarzel/the-terrifying-future-of-fake-news
WhatDoTechnologiesPutatRisk?
• Erosionofauthen4cityandintegrityofofficialstatements
• Electoraloutcomes• Poten4albreakdownofsociety
Lect184/4/18 ©JESavage 16
Poli4ciza4onofInforma4onTechnologies
• Russianswerequicktoseethedangers*– “InvitesallMemberStatestoinform…oftheirviews...on...• Advisabilityofdevelopinginterna4onalprinciplesthatwouldenhancethesecurityofglobalinforma4onandtelecommunica4onssystemsandhelptocombatinforma4onterrorismandcriminality;
• AlsoinvolvedinmeddlinginUS2016elec4ons†– Launched“complexblendofhacking,publicdisclosuresofprivateemails,anduseofbots,trolls,targetedadver4sing”
Lect184/4/18 ©JESavage 17
*h^p://undocs.org/A/RES/53/70†h^ps://www.cfr.org/report/countering-russian-informa4on-opera4ons-age-social-media
RussianMo4va4onforMeddling*
• Goalistoweakenadversaries,i.e.neighbors,NATOandUSbyanymeans
• Planted&spreadfalsestoriesin20thcentury• Socialmediahasmadeiteasier&moreeffec4ve• FrenchthwartedRussiana^emptinMay2017– Law:can’treportoncampaignsinlast48hours– Ci4zenslargelygetnewsviatradi4onaloutlets
• RussianstriedtoexploitNFLprotestsin2017Lect184/4/18 ©JESavage 18
*h^ps://www.cfr.org/report/countering-russian-informa4on-opera4ons-age-social-media
Characteris4csofSocialMedia
• Ci4zensrevealtheirsocial/poli4calpreferences– Profileseasilyassembledandanalyzed– Example:CambridgeAnaly4ca
• Easytotargetindividualsandgroups– Messagespersonalizedorreceivedfromfriends– Differentgroupscangetcontradictorymessages– Falsereportscanbeinsertedingenuineoutlets
• Botsspreadtrue&falsenewsatsamerate*
Lect184/4/18 ©JESavage 19
*h^p://science.sciencemag.org/content/359/6380/1146.full
WhatCanBeDoneAboutIt?*• Improvethetoolsforauthen4ca4ngdocuments– Images&audiocancryptographicallyverified
• Iden4fyauthorita4vesourcesandnetworks– Majornewsoutletshavehighstandards– Userecognizedtrustedinterna4onalsources
• Transparencyanddiscussionareeffec4ve– Quan4fyimpactofinfluencecampaigns– Iden4fyandpublishsourcesofmisinforma4on
• Regula4onofexploitablesocialnetworks– Studyeffectsofsocialnetworksonhumanpsychology
Lect184/4/18 ©JESavage 20
*h^p://www.helsinki4mes.fi/finland/finland-news/domes4c/13884-report-haglund-was-quick-to-pick-up-on-russia-s-informa4on-campaigns.html*h^ps://www.cfr.org/report/countering-russian-informa4on-opera4ons-age-social-media