Responsible AI: Implement an Ethical Approach in your Organization

✍ Scribed by Olivia Gambelin

• Publisher: Kogan Page
• Year: 2024
• Tongue: English
• Leaves: 273
• Edition: 1
• Category: Library

✦ Synopsis

Responsible AI is a guide to how business leaders can develop and implement a robust and responsible AI strategy for their organizations.

Responsible AI has rapidly transitioned to a strategic priority for leaders and organizations worldwide. Responsible AI guides readers step-by-step through the process of establishing robust yet manageable ethical AI initiatives for any size organization, outlining the three core pillars of building a responsible AI strategy: people, process and technology. It provides the insight and guidance needed to help leaders fully understand the technical and commercial potential of ethics in AI while also covering the operations and strategy needed to support implementation.

Responsible AI breaks down what it means to use ethics and values as a modern-day decision-making tool in the design and development of AI. It conceptually covers both how ethics can be used to identify risks and establish safeguards in the development of AI and how to use ethics-by-design methods to stimulate AI innovation. It also covers the different considerations for large enterprises and SMEs and discusses the role of the AI ethicist. It is supported by practical case studies from organizations such as IKEA, Nvidia, Rolls-Royce and NatWest Group.

✦ Table of Contents

Cover
Contents
Acknowledgments
PART ONE
01 Defining Ethics in AI: And How Values Will Shape the Face of Success
How to Use a Hammer in the World of AI
The Silent Killer of AI
What Is Ethics Anyway?
What Is Responsible AI and Why Do You Need a Strategy for It?
How This Book Works
Getting Started
02 Know Your Values: How to Find and Define Your Values for Responsible AI
Breaking Down the Conceptual Blockers to AI Ethics
Is Ethics Really Subjective?
Whose Values Are They Anyway?
The Foundational Value Finder Framework
The Pitfall of Hyperfocused Value
The Blindspot of Undefined Values
Securing Buy-In for Your Values
Bringing Direction to Your Responsible AI Strategy
03 The Duality of Ethics: Managing Risk and Innovation in AI
The Dual Purposes of Ethics
Ethics as a Tool for Risk Mitigation
Ethics as a Tool for Innovation
Finding the Right Direction for Your Strategy
04 Calibrating the Compass: Aligning Responsible AI to Your Organization’s Objectives
To Protect or to Promote?
Moral Imagination in AI
The Ethics Risk and Innovation Framework
Where to Next?
05 Five Reasons Why You Shouldn’t Invest in Responsible AI: And One Reason Why You Should
The Five Reasons Why Not to Invest
The One Reason Why You Should
PART TWO
06 The Responsible AI Blindspot You Didn’t Know You Had: And the Tool to Fix It
The Techno-Value Blindspot
The Three Pillars of Responsible AI
The Values Canvas
Learning Your Hammer
07 Who Is Building Your AI?: The People Driving Your Responsible AI Success
The Root of Responsible AI: People
Educate: Do your people know how to use ethics?
Motivate: Are your people motivated to engage with your values?
Communicate: Are your people talking about your values?
Bringing It All Together: Finalizing Your People Pillar
Risk Versus Innovation Approach in Your People Pillar
How Will You Know Your People Pillar Is Working?
The Human in Your AI Equation
08 How Is Your AI Being Built?: The Process Making the Responsible AI Engine Run
The Structural Support of Responsible AI: Process
Intent: Responsible AI policies
Implement: Governance and operational frameworks
Instrument/Tools
Bringing It All Together: Finalizing Your Process Pillar
Risk Versus Innovation Approach in Your Process Pillar
How Will You Know Your Process Pillar Is Working?
From Process to Technology
09 What Are You Building into Your AI?: The Technical Interventions of Responsible AI
Best Practices in AI Development: Technology
Data
Document
Domain
Bringing It All Together: Finalizing Your Technology Pillar
Risk Versus Innovation Approach in Your Technology Pillar
How Will You Know Your Technology Pillar Is Working?
From Technology to Beyond
PART THREE
10 The Different Phases of Responsible AI Adoption: And How to Understand Where You Are Currently
What It Means to Become a Responsible AI-Enabled Organization
The Journey of Responsible AI Adoption
What Happens Next: Advancing Through the Phases
Responsible AI Is a Journey, Not a Destination
11 Becoming a Responsible AI Enabled-Organization: How to Build a Strategy for Success
The Burden of Choice: Overcoming Responsible AI Inertia
Do Not Pass Go
Laying Your Foundations
Designing Your Structure
Reinforcing Your Strategy
It’s All Relative (to Size)
The Elephant in the Room
It’s a Matter of Time
12 Who’s Responsible for Responsible AI?: How to Bring About Responsible AI Change for Your Organization
The Pitfall of Responsibility in AI
The Roles of Responsible AI
Who Is Responsible for Change?
Understanding Your Organization’s Responsibility Structure
Who Is Responsible?
13 The Responsible AI Professional: The Roles, Responsibilities, and Structures of Working in Responsible AI
What Does It Mean to Be an AI Ethicist?
The Responsible AI Professional: Variations of the Responsible AI Profession
Building Your Responsible AI Dream Team
How Responsible AI Teams Support Your Pillars
The AI Ethics Board
Moving Forward
14 In Pursuit of Good Tech: Bringing Your Responsible AI Strategy to Life
The Key to Responsible AI
Providing the Conceptual Structure to Responsible AI
The Two Things From This Book You Should Never Forget
In Pursuit of Good Tech
What Next?
References
Index