Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used.
Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with blockchain so that an MLOps system requires blockchain to function, which in turn tethers AI. This guide shows you how.
This book is intended for software architects and developers who want to write AI that can be kept under control. It assumes that the reader already has an understanding of AI systems and is aware of the concerns that arise from the release of these systems. It is also assumed that the reader is somewhat familiar with blockchain and how it works. In order to complete the exercises, the reader should first become familiar with NodeJS, Hyperledger Fabric, and TensorFlow, PyTorch, or another popular AI library, and be able to set up an appropriate development environment in which to perform the exercises.
We wrote this book to share our knowledge and understanding of how to control AI with blockchain, because we believe there can be great benefits to using AI wisely. With AI, we have the ability to grok vast volumes of data that would otherwise be unactionable. We think AI needs to be tethered because it supplies the critical logic for so many inventions. AI powers exciting technologies like robots, automated vehicles, education and entertainment systems, farming equipment, elder care, and all kinds of other new ways of working; AI inventions will change our lives beyond our wildest dreams. Because AI can be both powerful and clever, there should be an immutable kill switch that AI can never covertly code around, which can only be guaranteed by building in a tether. It is worthwhile to invest the effort now to build blockchain tethered AI that is trackable and traceable, and reading this book is your first step.
Genetic algorithms are based on natural selection, where the models improve their confidence levels by mimicking the principles of natural evolution. They are applied to search and optimization problems to improve a model’s performance. The key factors in a genetic algorithm include selection, or how it is determined which members of a population will reproduce; mutation, or random changes in the genetic code; and crossover, which is a determination of what happens when chromosomes are mixed and what is inherited from the parents. This is applied as a model that breeds the best answers with one another, in the form of a decision tree that learns from its experience. Genetic algorithms are often used in optimizing how the model can run within its permitted environment, evaluating its own potential performance with various hyperparameters, which are the run variables that an AI engineer chooses before model training. Models driven by genetic algorithms can become smarter and smarter as time progresses, ultimately leading to technological singularity, which is addressed later in this chapter.
You will: Learn how to create and power AI marketplaces with blockchain Understand why and how to implement on-chain AI governance Control AI by learning methods to tether it to blockchain networks Use blockchain crypto anchors to detect common AI hacks Learn methods for reversing tethered AI
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