Actuaries and AI...And sometimes there’s urban myths about getting things wrong THE NEURAL NET...
Transcript of Actuaries and AI...And sometimes there’s urban myths about getting things wrong THE NEURAL NET...
ActuariesandAI
FrankAsheIndependentConsultant&Director
Availableworldwide
Freestylechesshttps://www.huffpost.com/entry/centaur-chess-shows-power_b_6383606
Neuralnetworksgetthingswrong,sometimes:
https://www.nature.com/articles/d41586-019-03013-5?sf221156507=1&error=cookies_not_supported&code=f7cdca41-3bb2-46d5-8944-2d52d834f92f
And sometimes there’s urban myths about getting things wrong THENEURALNETTANKURBANLEGEND
AIfolkloretellsastoryaboutaneuralnetworktrainedtodetecttankswhichinsteadlearnedtodetecttimeofday;investigating,thisprobablyneverhappened.
https://www.gwern.net/Tanks
DowewantIQorEQ?See:TheStrangeOrderofThings–AntonioDamasioOurIQisintimatelyboundupwithourEQ
Damasiosuggeststhatourhard-wireddrives,urges,compulsions,impulsesandautomaticresponses,suchashunger,desireandpain,originatefrom“subjectiveexperiencesofthemomentarystateofhomeostasis”—thatis,thebody’sroutine,humdrumregulationofitsvisceralfunction.Hearguesthatthereisanorganicdialoguebetweenthisbiologicalprocessandthefeelingsthatarisefromourcontinuousscrutinyofit.Thatdiversepenumbraoffeelingsandimpulses,inturn,continuouslyinfusesconsciousthoughtand,ultimately,driveshumanbehaviour.What the body feels is every bit as significant as what the mind thinks, a neuroscientist argues. Turn to emotions to explain human consciousness and cultures
Goodreviews:https://www.theguardian.com/books/2018/feb/02/strange-order-of-things-antonio-damasio-reviewhttps://www.nature.com/articles/d41586-018-01326-5
WhatcouldquantumcomputingdotoAI?MarkFarrell,Ph.D.,FIA𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗲𝘀:𝗤𝘂𝗮𝗻𝘁𝘂𝗺𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴.Apotentialgamechangerforourprofession?Somewaysquantumcomputingmightaffectactuarialwork:*Modellingclimatechange,viasimulation,withgreateraccuracy.*Solvingoptimisationproblemsinfinancewithease.*StreamliningMachineLearning.*Enhancedportfolioriskoptimisation.*MoresophisticatedandaccurateMonteCarlosimulation.*Instantaneous&extremelythoroughsimulationtogainextensiveinsight.*AccelerationofArtificialIntelligence.12October2019LinkedInhttps://www.linkedin.com/posts/markfarrellactuary_actuaries-activity-6588688932043542529-ZxQPAllcorrect,but...Oneoftheproblemswithspeedingupthecomputation,whetherthroughquantumcomputingorsomethingelse,isthatmanyofthebasicproblemsarestillnotdealtwith.Weknowthewronganswermoreaccurately,morequickly.Thelimitsonaccuracyofthecalculations,andtheImplementationarestillthemajorproblems.
HowmanypeopledieinSingaporeeachyear?Whatwouldbeatypicalrangeforthisnumber?
Let’sguess!5millionpeople?Averagelifespan80years?Inequilibrium1/80thofpeoplemustdieeachyear=5,000,000/80=62,500
Thisisactuallywrong,it’sabout20,000duetotheagepyramid.Seethecrudedeathratesettoincreaseasthepopulationages:
What’stheexpecteduncertainty?Ifit’saPoissonvariablethenthestandarddeviationisthesquarerootoftheexpectednumber:√62,500~800Likelytobehigherthanthat
Fermiproblems:https://en.wikipedia.org/wiki/Fermi_problemDidtheyteachyouthissortofthinking?Textbooksavailableforthiscourse!Considerasphericalcow–JohnHarteCanAIdothis?
Trolleyology
GettingAItohaveabasicideaofethics.Needtobebuiltintosystemswherepeoplecanbehurt.
ByMcGeddon-Ownwork,CCBY-SA4.0,https://commons.wikimedia.org/w/index.php?curid=52237245
BUT…
Doyouknowwhatyou’re
doing?
Parallel Automatic processes – unconscious and fast too
• Anchoring,Salience,Confirmationbias,Framing,Baseratefallacy,Endowmenteffect,Illusionofknowledge,Stereotyping…
Heuristicsfordecisions
• Overconfidence,Overoptimism,In-groupfavour,Hyperbolicdiscounting,AssumptionofAgency…
Biases
Withallthisunconsciousstuffgoingon,howdoweknow
whatwe’redoing?
Howdoweknowwhatwewilldo?
Spurious sense making!
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Weneedtomakesenseoftheworld
Consciousprocessescan’taccesstheotherprocesses
Buildamodelofourselves–Gazzaniga’sInterpreter
Tendstoattributebehaviourtoitself
Seeswhatwe’vedoneandguessesastowhy,basedonwhatwe’vedoneinthepast
HowdoIplan?Seewhatthemodelofhowwebehavesays.
Weneedtobeveryawarethatthereasonswethinkwehaveforwhatwedoarenotnecessarilytherealreasons.Ifweaskapersonwhytheydidsomethingtheymay,withoutbeinginanywayuntruthful,giveusthewrongreasons.Theythinkthosereasonsarecorrect,buttheyarenot.
Ifwedon’tknowwhywedidsomething
thenwhyshouldweexpectanAItobeabletoexplainitself?