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McMeel on the Construction of Contracts: Interpretation, Implication and Rectification

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Land Registration Manual
4th ed




 Ash Jones


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Judicial Cooperation in Commercial Litigation 3rd ed (The British Cross-Border Financial Centre World)



 Ian Kawaley, David Doyle, Shade Subair Williams


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The AI Precipice: An Executive Guide to Balancing AI Innovation and Safety


ISBN13: 9781041020196
To be Published: May 2026
Publisher: Routledge
Country of Publication: UK
Format: Paperback
Price: £35.99





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.

Subjects:
IT, Internet and Artificial Intelligence Law
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