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.
Table of 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
