Scaling responsible AI : from enthusiasm to execution / Noelle Russell.

Format:

Book

Author/Creator:

Russell, Noelle, author.

Language:

English

Subjects (All):

Artificial intelligence--Industrial applications.

Artificial intelligence.

Business ethics.

Business--Technological innovations.

Business.

Physical Description:

1 online resource (259 pages)

Edition:

First edition.

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc., [2025]

Summary:

Implement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails Much like a baby tiger in the wild, artificial intelligence is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky. In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI. In this groundbreaking book, Noelle Russell reveals an executable framework to: Harness AI's full potential while safeguarding your firm's reputation Mitigate bias, accuracy, privacy, and cybersecurity risks from the start Make informed choices by seeing through the hype and identifying true AI value Develop an ethical AI culture across teams and leadership Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver. Implement artificial intelligence that drives profits, innovation, and competitive edge--the responsible way.

Contents:

Introduction xiii

Part I: Day One: The Hype Cycle 1

Chapter 1: LEAD AI: A Framework for Building Responsible AI 3

Chapter 2: The Hype of AI: Capturing the Excitement 23

Chapter 3: Building the AI Sandbox: Safe, Responsible Spaces for Innovation 37

Chapter 4: From Ideation to Action: Setting Up for Successful Business Outcomes 55

Part II: Day Two: The Road To Reality 79

Chapter 5: From Playground to Production: Embracing the Challenges 81

Chapter 6: Beyond the Prototype: What Happens After POC? 99

Chapter 7: SECURE AI: A Framework for Deploying Responsible AI 125

Chapter 8: Architecting AI: Designing for Scale and Security 151

Part III: The AI Journey: Navigating Challenges And Embracing Change 173

Chapter 9: Why Change Is the Only Constant in AI 175

Chapter 10: Model Evaluation and Selection: Ensuring Accuracy and Performance 191

Chapter 11: Bias and Fairness: Building AI That Serves Everyone 211

Chapter 12: Responsible AI at Scale: Growth, Governance, and Resilience 233

Part IV: The Vision Realized: Leading AI Into The Future 251

Chapter 13: Looking Back: Lessons Learned and Insights Gained 253

Chapter 14: The Future of AI Leadership: Transforming Potential into Power 271

Chapter 15: AI's Impact and Intention: Envisioning a World Transformed 289

Index 311.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781394289653

1394289650

9781394289660

1394289669

OCLC:

1511340099