book

Blockchain Tethered AI

by Karen Kilroy, Lynn Riley, Deepak Bhatta

February 2023

Intermediate to advanced

304 pages

8h 14m

English

O'Reilly Media, Inc.

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Preface
Why Does AI Need to Be Tethered?What You Will LearnWhy We Wrote This BookA Note to Future GenerationsSummaryConventions Used in This BookUsing Code ExamplesO’Reilly Online LearningHow to Contact UsAcknowledgements
1. Why Build a Blockchain Truth Machine for AI?
Dissecting AI’s Trust DeficitMachine Learning ConcernsOpaque Box AlgorithmsGenetic AlgorithmsData Quality, Outliers, and Edge CasesSupervised Versus Unsupervised MLReinforcement Learning and Deep LearningProgram SynthesisSuperintelligent AgentsTechnological SingularityAttacks and FailuresModel/Data DriftAdversarial Data AttacksRisk and LiabilityBlockchain as an AI TetherEnterprise BlockchainDistributed, Linked BlocksTrust and TransparencyDefining Your Use CaseAudit TrailLocal Memory BankShared Memory BankFour ControlsCase Study: Oracle AIoT and BlockchainWhat’s Next?
2. Blockchain Controls for AI
Four Blockchain ControlsBlockchain Control 1: Pre-establishing Identity and Workflow Criteria for People and SystemsEstablishing IdentityPredetermining Workflow Among ParticipantsBlockchain Control 2: Distributing Tamper-Evident VerificationUsing Crypto Anchors to Verify Data Sets, Models, and PipelinesUsing Blockchain to Detect Common AI HacksUnderstanding Federated Learning and BlockchainUnderstanding Model MarketplacesBlockchain Control 3: Governing, Instructing, and Inhibiting Intelligent AgentsEstablishing a Governance GroupImplementing On-Chain GovernanceDeveloping Compliant Intelligent AgentsBlockchain Control 4: Showing Authenticity Through User-Viewable ProvenanceDeciding Whether to Trust AISummary
3. User Interfaces
Design ThinkingWeb InterfacesBlockchain Tethered AI User InterfacesBTA User MockupsFunctionalityTraceability and TransparencySmartphone and Tablet AppsEmail and Text NotificationsSpreadsheetsThird-Party SystemsWorking with APIsIntegrated HardwareThird-Party Services and ToolsSystem SecurityAI SecurityDatabase SecurityBlockchain SecurityAdditional SecuritySummary
4. Planning Your BTA
BTA ArchitectureSample ModelAI Factsheet: Traffic Signs Detection ModelHow the Model WorksTethering the ModelSubscribingControlling AccessOrganization UnitsStaffingsUsersAnalyzing the Use CaseParticipantsAssetsTransactionsSmart ContractsAudit TrailSummary
5. Running Your Model
Exercise: Oracle Cloud SetupCreating a Cloud Provider AccountCreating a CompartmentCreating a BucketCreating a Pre-authenticated RequestCreating Oracle GroupsCreating IDCS GroupsMapping Oracle GroupsCreating a PolicyGenerating a Secret KeyExercise: Building and Training a ModelExploring the Model RepositoryInstalling Python and PyTorchStarting the NotebookConfiguring Boto3Running Your NotebookChecking the BucketOptimizing HyperparametersLearning Rate for Training a Neural NetworkNumber of Training Epochs UsedSize of the Training BatchesSize of the Hidden LayersUnderstanding MetricsAccuracyLossPrecisionRecallF1 ScoreSummary
6. Instantiating Your Blockchain
Exercise: Setting Up Hyperledger FabricInstalling Node.js, npm, and NestJSUnderstanding Hyperledger Fabric 2.0 Required NodesInstalling, Configuring, and Launching the BlockchainCreating and Joining ChannelsCreating ChannelsJoining ChannelsConfiguring Anchor PeersUsing ChaincodesUnderstanding Response StructUsing GetTxDateTimeProject (project)Model Version (model-version)Model Review (model-review)Model Artifact (model-artifact)Model Experiment (model-experiment)Setting Up the Blockchain ConnectorCreating Multiple Blockchain ConnectorsSetting Up the Oracle ConnectorConfiguring Your env File with Your OCI VariablesStarting the Oracle ConnectorMore About Integrating Blockchain and the Application LayerBlockchain ConnectorqueryOC User ServiceOC GroupSummary
7. Preparing Your BTA
Exercise: Installing and Launching Your BTAInstalling the BTA BackendUnderstanding Your BTA Backend’s env FileUnderstanding Your environment.ts FileLaunching the BTA FrontendExercise: Creating Users and PermissionsUsing MailCatcherConfiguring the Super AdminCreating a New Subscription Account in Your BTAConfiguring Organization Admin’s NodeConfiguring Organization Admin’s ChannelVerifying the SubscriptionActivating Your Organization AdminConfiguring Access for Your AI TeamSummary
8. Using Your BTA
Exercise: Recording Critical AI Touchpoints to BlockchainAdding a New ProjectAdding a New VersionUnderstanding How Training and Testing Data Use BlockchainUnderstanding How Models and Algorithms Use BlockchainUnderstanding How Inputs and Outputs Use BlockchainUnderstanding How Performance Metrics Use BlockchainUnderstanding How New Model Versions Use BlockchainUnderstanding How the Uploads WorkReviewing and Approving the ModelAdding AI’s Purpose and Intended DomainExercise: Auditing Your BTATracking Your Model’s Training and Test Data SetsTracing Your Inputs and OutputsVerifying Performance MetricsTracing Identity of People and AI SystemsTracking and Tracing Model DevelopmentIdentifying TamperingReversing Your Blockchain Tethered ModelChecking the Training Data SetsChecking the AlgorithmsRetraining the ModelSummary
Index

About the Authors

Content preview from Blockchain Tethered AI

About the Authors

Karen Kilroy is a lifelong technologist with heart, as well as a full-stack software engineer, speaker, and author living in Northwest Arkansas. This book is Karen’s third publication for O’Reilly, following Blockchain as a Service (2019) and AI and the Law (2021). As CEO of Kilroy Blockchain, Karen has invented several products, including FLO, CASEY, Kilroy Blockchain PaaS, CARNAK, and RILEY, an AI mobile app that won the IBM Watson Build award for North America in 2017. Karen and Lynn Riley were selected as recipients of a National Science Foundation research grant in 2018 and focused their studies on autonomous vehicles. Karen was selected as a 2022 recipient of the Life Works Here award by the Northwest Arkansas Council and is a four-time IBM Champion. Karen is also a professional dragon boat coach.

Lynn Riley, a graduate of MIT in chemical engineering, has worked at Motorola, Apple, and CORT Business Services and is Kilroy Blockchain’s CIO. Lynn is instrumental to Kilroy Blockchain’s AI and machine learning development and trained RILEY, Kilroy Blockchain’s AI app that won the IBM Watson Build award for North America in 2017. Lynn specializes in blockchain and AI governance and helps guide Kilroy Blockchain’s customers with application architecture in the design thinking stage of development. Lynn has been instrumental to the workflow design of Kilroy Blockchain’s products and spent most of 2018 traveling with Karen Kilroy on a National Science Foundation ...

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Publisher Resources

ISBN: 9781098130541Errata Page

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Blockchain Tethered AI

by Karen Kilroy, Lynn Riley, Deepak Bhatta

About the Authors

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.