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Full Description
The AI Precipice fills a significant gap by providing an executive leadership guide to balancing innovation and safety. With the rapid business transformation underway to leverage AI, executives must allocate substantial investments in governance, corporate purpose, and risk management tailored to their organization's strategic goals. The stakes are high, and very few organizations are generating positive returns on their investments.
As a result, leaders must reevaluate their strategies, focusing on maximizing benefits while curtailing unnecessary costs. This book emphasizes the importance of carefully integrating humans into AI processes and introduces a robust leadership framework that prioritizes innovation without compromising safety. Diverse industry examples offer rich insights into pathways for striking a balance between advancing AI capabilities and mitigating potential risks.
This book equips leaders with the tools to navigate the complexities of AI responsibly. It sheds light on often-overlooked topics in major AI literature, including in-depth discussions on strategic scenarios, risks and controls, legal frameworks, and effective measurement systems.
Offering a wealth of strategic and operational insights from credible sources, this authoritative resource is indispensable for senior executives aiming to design, develop, and implement successful AI initiatives within their organizations.
Contents
SECTION 1: The Courage Needed For Balanced AI CHAPTER 1: Redefining our Relationship with Machines CHAPTER 2: Establishing Responsible AI from Day One CHAPTER 3: Demystifying the Magic of AI CHAPTER 4: Iterating AI from Concept to Reality CHAPTER 5: AI is More than Just Models CHAPTER 6: Battling AI Breaches and Adversarial Attacks SECTION II: Roadmap To Achieving Responsible AI CHAPTER 7: The Tug-of-War between AI Innovation and Safety CHAPTER 8: Aligning Corporate Profit and Purpose CHAPTER 9: Targeting the Risks that Truly Matter CHAPTER 10: Cost-Efficient Controls with Maximum Impact CHAPTER 11: Maintaining Stakeholder Trust and Confidence CHAPTER 12: The Art of Data-Driven AI Monitoring CHAPTER 13: Future-Proofing AI with Scenario Planning SECTION III: Utopia Or Dystopia? The Future of AI CHAPTER 14: Building Utopia CHAPTER 15: Avoiding Dystopia CHAPTER 16: Leading with a Thriving Mindset APPENDIX
