Responsible AI: Best Practices for Creating Trustworthy AI Systems

Description

• Copyright 2024
• Dimensions: 7-3/8" x 9-1/8"
• Pages: 320
• Edition: 1st

• Book
• ISBN-10: 0-13-807392-9
• ISBN-13: 978-0-13-807392-3

AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover:

• Governance mechanisms at industry, organisation, and team levels
• Development process perspectives, including software engineering best practices for AI
• System perspectives, including quality attributes, architecture styles, and patterns
• Techniques for connecting code with data and models, including key tradeoffs
• Principle-specific techniques for fairness, privacy, and explainability
• A preview of the future of responsible AI

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Operationalizing Responsible AI: A Thought Experiment--Robbie the Robot

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Table of Contents

    Preface.. . . . . . . . . . . . . . . . . xv

    About the Author.. . . . . . . . . . . . . . xix

Part I Background and Introduction. . . . . . . . . . . . .1

1 Introduction to Responsible AI. . . . . . . . . 3

    What Is Responsible AI?. . . . . . . . . . . . 4

    What Is AI?. . . . . . . . . . . . . . 6

    Developing AI Responsibly: Who Is Responsible for Putting the

    Responsible into AI?.. . . . . . . . . . . . 8

    About This Book.. . . . . . . . . . . . . 9

    How to Read This Book.. . . . . . . . . . . . 11

2 Operationalizing Responsible AI: A Thought ExperimentRobbie the Robot.. . . . . . . . 13

    A Thought ExperimentRobbie the Robot.. . . . . . . . 13

    Summary. . . . . . . . . . . . . . 22

Part II Responsible AI Pattern Catalogue. . . . . . . . . . . 23

3 Overview of the Responsible AI Pattern Catalogue. . . . . 25

    The Key Concepts.. . . . . . . . . . . . . 25

    Why Is Responsible AI Different?. . . . . . . . . . 30

    A Pattern-Oriented Approach for Responsible AI.. . . . . . . 32

4 Multi-Level Governance Patterns for Responsible AI.. . . . 39

    Industry-Level Governance Patterns. . . . . . . . . 42

    Organization-Level Governance Patterns.. . . . . . . . 56

    Team-Level Governance Patterns.. . . . . . . . . . 72

    Summary. . . . . . . . . . . . . . 85

5 Process Patterns for Trustworthy Development Processes. . . 87

    Requirements.. . . . . . . . . . . . . 88

    Design. . . . . . . . . . . . . . . 96

    Implementation.. . . . . . . . . . . . . 105

    Testing. . . . . . . . . . . . . . . 110

    Operations. . . . . . . . . . . . . . 114

    Summary. . . . . . . . . . . . . . 120

6 Product Patterns for Responsible-AI-by-Design.. . . . . 121

    Product Pattern Collection Overview.. . . . . . . . . 122

    Supply Chain Patterns. . . . . . . . . . . . 123

    System Patterns. . . . . . . . . . . . . 134

    Operation Infrastructure Patterns. . . . . . . . . 141

    Summary. . . . . . . . . . . . . . 158

7 Pattern-Oriented Reference Architecture for Responsible-AI-by-Design. . . . . . . . . 159

    Architectural Principles for Designing AI Systems. . . . . . 160

    Pattern-Oriented Reference Architecture.. . . . . . . . 161

    Summary. . . . . . . . . . . . . . 165

8 Principle-Specific Techniques for Responsible AI.. . . . . 167

    Fairness.. . . . . . . . . . . . . . 167

    Privacy. . . . . . . . . . . . . . . 172

    Explainability. . . . . . . . . . . . . 178

    Summary. . . . . . . . . . . . . . 182

Part III Case Studies. . . . . . . . . . . . . . .  183

9 Risk-Based AI Governance in Telstra. . . . . . . 185

    Policy and Awareness.. . . . . . . . . . . . 186

    Assessing Risk.. . . . . . . . . . . . . 188

    Learnings from Practice. . . . . . . . . . . 192

    Future Work. . . . . . . . . . . . . . 195

10 Reejig: The Worlds First Independently Audited Ethical Talent AI.. . . . . . . . . . . 197

    How Is AI Being Used in Talent?.. . . . . . . . . . 198

    What Does Bias in Talent AI Look Like?.. . . . . . . . 200

    Regulating Talent AI Is a Global Issue.. . . . . . . . . 201

    Reejigs Approach to Ethical Talent AI. . . . . . . . . 202

    How Ethical AI Evaluation Is Done: A Case Study in Reejigs World-First Independently Audited Ethical Talent AI. . . . . . . . 204

    Overview.. . . . . . . . . . . . . 204

    Project Overview. . . . . . . . . . . . . 206

    The Ethical AI Framework Used for the Audit.. . . . . . . 207

    The Benefits of Ethical Talent AI.. . . . . . . . . . 210

    Reejigs Outlook on the Future of Ethical Talent AI.. . . . . . 211

11 Diversity and Inclusion in Artificial Intelligence.. . . . . 213

    Importance of Diversity and Inclusion in AI.. . . . . . . 215

    Definition of Diversity and Inclusion in Artificial Intelligence. . . . 216

    Guidelines for Diversity and Inclusion in Artificial Intelligence. . . . 219

    Conclusion.. . . . . . . . . . . . . . 234

Part IV Looking to the Future. . . . . . . . . . . . . 237

12 The Future of Responsible AI.. . . . . . . . . 239

    Regulation. . . . . . . . . . . . . . 241

    Education.. . . . . . . . . . . . . . 242

    Standards.. . . . . . . . . . . . . . 244

    Tools.. . . . . . . . . . . . . . . 245

    Public Awareness.. . . . . . . . . . . . 246

    Final Remarks.. . . . . . . . . . . . . 246

Part V Appendix. . . . . . . . . . . . . . . . 249

9780138073923, TOC, 11/7/2023

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