Scaling Responsible AI

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.

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