فهرست مطالب

• Cover
• Table of Contents
• Title Page
• Introduction
• What Does This Book Cover?
• Additional Resources
• Reflection Questions
• How to Contact the Publisher or the Author
• Part I: Day One: The Hype Cycle
• Chapter 1: LEAD AI: A Framework for Building Responsible AI
• Chapter 2: The Hype of AI: Capturing the Excitement
• A Wild Ride: The Initial Excitement of AI
• Questions Nobody's Asking: What Happens When AI Grows?
• Looking Cute Today: Benefits That Blind Us
• Taming the Beast: Partnering with AI Experts
• Eyes Wide Open: Realistic Expectations
• Preparing for Tomorrow: Responsible Enthusiasm
• Takeaways
• Reflection Questions
• Chapter 3: Building the AI Sandbox: Safe, Responsible Spaces for Innovation
• The Basics: What Exactly Is an AI Sandbox?
• Safe Innovation: Identifying Low-Risk Use Cases
• Aligning with Values: Ensuring Ethical AI Practices
• Looking Forward: Scaling Up from Your Sandbox
• Takeaways
• Reflection Questions
• Chapter 4: From Ideation to Action: Setting Up for Successful Business Outcomes
• Aligning AI with Business Vision and Core Values
• The Art of Possible: Pushing Boundaries Responsibly
• Core Value Selection: The Key to Long-Term Success
• Understanding Organizational Risk
• Evaluating Risks Systematically
• Level of Complexity: Avoiding Overcommitment
• Identifying Minimum Remarkable Products
• Delighting the User: Ensuring Engagement and Usability
• Building Inclusive Teams for Better AI Solutions
• Monitoring and Measuring Systems at Scale for Success and ROI
• Takeaways
• Reflection Questions
• Part II: Day Two: The Road to Reality
• Chapter 5: From Playground to Production: Embracing the Challenges
• Bridging the Gap: Transitioning from Proof to Production
• Infrastructure Matters: Building the Right Foundation
• Data, Data Everywhere: Managing and Maintaining Quality
• Tools of the Trade: Picking Your AI Arsenal
• Metrics that Matter: Measuring Success on “Day Two”
• Takeaways
• Reflection Questions
• Chapter 6: Beyond the Prototype: What Happens After POC?
• Shifting Mindsets: From Prototype to Production Pilot
• Ensuring Scalability from the Start: Why It Matters
• Building a Strong Foundation: Key Technical Considerations
• Transitioning Smoothly from Pilot to Production
• Creating a Culture of Continuous Improvement
• Evaluating Early Successes and Quick Iteration
• Finding the Balance Between Long-Term Vision and Short-Term Results
• Preparing for Future Challenges in Scaling AI Solutions
• Takeaways
• Reflection Questions
• Chapter 7: SECURE AI: A Framework for Deploying Responsible AI
• Understanding the Move: Evaluating AI Initiatives
• Common Pitfalls: Underestimating Security and Accuracy
• Scaling Responsibly: Real-Time Performance at Scale
• Inclusive Testing: The Validation Crucible
• The Power of Diverse Perspectives: Building for All Users
• Red Teaming AI: The SECURE AI Framework
• Blueprint for Success: Avoiding AI Pilot Purgatory
• Takeaways
• Reflection Questions
• Chapter 8: Architecting AI: Designing for Scale and Security
• Getting Ready to Scale: The Basics of AI Architecture
• Managing Your AI After Deployment
• Locking It Down: Building Cybersecurity into Your AI
• Implementing Best Practices: The Responsible AI Architecture Playbook
• Looking Forward: Future Trends in Scaling and Securing AI
• Takeaways
• Reflection Questions
• Part III: The AI Journey: Navigating Challenges and Embracing Change
• Chapter 9: Why Change Is the Only Constant in AI
• Embracing Uncertainty with Open Arms
• Identifying Roadblocks Early
• Turning Challenges into Opportunities
• Building a Resilient AI Team
• Adapting Your Strategy on the Fly
• The Role of Continuous Learning
• Staying Ahead in a Fast-Paced World
• Balancing Innovation and Risk
• Crafting a Forward-Thinking Mindset
• Takeaways
• Reflection Questions
• Chapter 10: Model Evaluation and Selection: Ensuring Accuracy and Performance
• Chapter 11: Bias and Fairness: Building AI That Serves Everyone
• Why Bias in AI Is a Big Deal
• Recognizing Different Types of Bias
• Tools and Techniques to Detect Bias
• Strategies for Mitigating Bias
• Promoting Fairness in Your AI Models
• Learning from Policy Reviews at All Levels
• Real-World Examples of Fair AI in Action
• Looking Ahead: Building Inclusive and Just AI
• Takeaways
• Reflection Questions
• Chapter 12: Responsible AI at Scale: Growth, Governance, and Resilience
• Why Scaling AI Matters: Beyond the Prototype
• The Building Blocks of Scalable AI
• Governance Essentials: Keeping AI Ethical and Compliant
• Navigating Regulatory Landscapes: What You Must Know
• Safe and Sound: Creating Robust Governance Frameworks
• Strengthening the Core: Developing Resilient AI Programs
• Handling Disruptions Like a Pro
• Real-World Success Stories: Lessons from the Field
• Common Pitfalls and How to Avoid Them
• The Future of Responsible AI at Scale
• Takeaways
• Reflection Questions
• Part IV: The Vision Realized: Leading AI into the Future
• Chapter 13: Looking Back: Lessons Learned and Insights Gained
• Gearing Up: Setting the Stage for Future AI Adventures
• Trailblazers: Stories of AI Innovations Leading the Way
• AI Communities: Building Bridges and Removing Barriers
• Human-Centric AI: Ensuring That People Remain at Its Heart
• Collaborative Ecosystems: Partnerships That Drive Progress
• Ask the Experts: Wisdom from AI Thought Leaders
• DIY AI: Empowering Everyone to Be Part of the Journey
• What's Next: Preparing for the Unpredictable AI Tomorrow
• Takeaways
• Reflection Questions
• Chapter 14: The Future of AI Leadership: Transforming Potential into Power
• Setting the Stage for Innovation
• Building a Culture That Thrives on Curiosity
• Empowering Your AI Teams with Purpose
• Leading with Clarity Amid Complexity
• Confidence as a Key to Effective Leadership
• The Ultimate AI Leadership Checklist
• Navigating AI's Ethical Landscape
• Legal Landmines and How to Avoid Them
• Responsibility and Accountability in AI
• Charting the Course Ahead: Vision and Values
• Takeaways
• Reflection Questions
• Chapter 15: AI's Impact and Intention: Envisioning a World Transformed
• The Ripple Effect: AI's Potential for Societal Change
• AI's Impact on Key Sectors
• The Journey Ahead
• AI's Impact on Jobs and the Economy
• The Promises and Perils of Superintelligence
• Bridging the Gap: AI in the Fight for Equality
• What Gives Me Hope
• The Road Ahead
• Takeaways
• Reflection Questions
• Index
• Copyright
• Dedication
• About the Author
• Acknowledgments
• End User License Agreement