book

Causal Artificial Intelligence

Name: Causal Artificial Intelligence
ISBN: 9781394184132

by Judith S. Hurwitz, John K. Thompson

October 2023

Beginner to intermediate

384 pages

7h 58m

English

Wiley

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Cover
Table of Contents
Title Page
Foreword
Preface
Introduction
CHAPTER 1: Setting the Stage for Causal AI
Why Causality Is a Game ChangerCausal AI in Perspective with AnalyticsAnalytical Sophistication ModelScope of Services to Support Causal AIThe Value of the Hybrid TeamThe Promise of AIUnderstanding the Core Concepts of Causal AISummaryNote
CHAPTER 2: Understanding the Valueof Causal AI
Defining Causal AIThe Origins of Causal AIWhy Causal AI Is the Next Generation of AIThe Business Imperative of a Causal ModelThe Importance of Augmented IntelligenceThe Importance of Data, Visualization, and FrameworksGetting Started with Causal AISummaryNotes
CHAPTER 3: Elements of Causal AI
Conceptual ModelsProcess ModelsCollaboration Between Business and Analytics ProfessionalsThe Fundamental Building Blocks of Causal AI ModelsThe Elements of Visual ModelingSummaryNotes
CHAPTER 4: Creating Practical Causal AI Models and Systems
Understanding Complex ModelsCausal Modeling Process: Part 1Causal-Based Approach: Part 2SummaryNotes

CHAPTER 5: Creating a Model with a Hybrid Team
The Hybrid TeamDefining RolesThe Basics Steps for a Hybrid Team ProjectAn Overview of Model CreationSummary
CHAPTER 6: Explainability, Bias Detection, and AI Responsibility in Causal AI
ExplainabilityDetecting Bias and Ensuring Responsible AISummaryNote
CHAPTER 7: Tools, Practices, and Techniques to Enable Causal AI
The Causal AI PipelineThe Importance of Synthetic DataCurrent State of Tools and Software in Causal AISummary
CHAPTER 8: Causal AI in Action
Enterprise Marketing in a Business-to-Consumer ScenarioMoving from Strategy to Building and Implementing Causal AI SolutionsSummary
CHAPTER 9: The Future of Causal AI
Where We Stand TodayFoundations of Causal AIThe Causal AI JourneyIntegrating Causal AI and Traditional AIThe Imperative for Managing DataEnsembles of DataGenerative AI Is Emerging as a Game Changer for Causal AIThe Future of Causal DiscoveryThe Emergence of Causal AI Reinforcement Learning Will Accelerate Model TrainingCausal AI as a Common Language Between Business Leaders and Data ScientistsThe Emergence of Probabilistic Programming LanguagesThe Predictable Model Evolution CycleThe Emergence of the Digital TwinImproving the Ability to Understand Ground TruthThe Development of More Sophisticated DAGsVisualizing Complex Relationships in the DAGsThe Merging of Causal and Traditional AI ModelsThe Future of ExplainabilityThe Evolution of Responsible AIAdvances in Data Security and PrivacyIntegration Will Be Between Models and Business ApplicationsSummary
Glossary
Appendix: Causal AI Tools and Libraries
Selected Resources
Acknowledgments
About the Authors
About the Contributor
Index
Copyright
Dedication
End User License Agreement

Overview

Discover the next major revolution in data science and AI and how it applies to your organization

In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Useful for both data scientists and business-side professionals, the book offers:

Clear and compelling descriptions of the concept of causality and how it can benefit your organization
Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems
Useful strategies for deciding when to use correlation-based approaches and when to use causal inference

An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.

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,
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