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Owning Intelligence

How AI is Reshaping Intellectual Property, Risk, and Governance
Buch | Softcover
2026
Apress (Verlag)
979-8-8688-2387-9 (ISBN)
CHF 89,85 inkl. MwSt
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AI is not just a tool. It's a new creator and a new risk. Artificial intelligence is transforming how companies innovate, create, and compete. But with this transformation comes a legal and strategic minefield.


Generative AI tools can produce valuable assets or create unintentional IP violations. Training data may be unknowingly scraped, reused, or leaked. And companies that fail to align their IP strategies with AI use risk litigation, brand damage, and even board liability. This book is a fresh guide for business leaders, general counsel, and board directors on how to rethink the process of where AI meets human behavior in IP and governance in the age of AI, offering a blueprint for managing data, rights, innovation, and risk.


This isn’t another “AI ethics” book or a law treatise. It’s a hands-on guide for operationalizing AI and IP governance, covering process, policy, and people with practical tools you can implement immediately. Grounded in legal precedent, business strategy, and practical frameworks, Owning Intelligence is written for leaders who want to do more than write policies, they want to implement them. It includes a playbook of governance checklists, management structure, sample company policies, and tools that organizations can adopt immediately to protect what they build and comply with evolving law.


What You Will Learn




Embed governance into workflows across legal, engineering, and product teams.
Legal frameworks, authorship and ownership challenges, and strategic approaches to policy for proprietary data and AI outputs.
How boards, executives, and legal teams must prepare for AI accountability, compliance, and oversight.
Use AI in IP development and choosing a path that balances the benefits and the risks.
The risks of scraping, fair use boundaries, and active landmark cases.
Tools, techniques, and AI-assisted compliance strategies for detecting unauthorized use.
AI patent trends, key companies, future directions, and the evolving role of trade secrets. 


Who This Book Is For


General Counsel tasked with drafting and  enforcing AI usage policies or protecting trade secrets; Board Directors seeking to fulfill fiduciary duty in light of emerging AI risk; CTOs, R&D and product development team leaders seeking to integrate the use of AI with IP awareness in their processes; Innovation and legal teams evaluating patent, copyright, and licensing strategies; policymakers or regulators interested in model governance frameworks.


 

Nancy Cronin, P.E., is a strategy expert, engineer, and innovation consultant who advises leading companies across a diverse set of industries. With deep expertise in intellectual asset management, IP strategy, invention portfolio development, and patent analytics, Nancy brings a unique perspective at the intersection of technical invention and legal protection. Her work spans the full lifecycle of innovation from ideation and analytics to invention harvesting, documentation and strategic advisement, and most recently, AI integration into IP workflows. She has guided Fortune 500 companies in building defendable IP portfolios and identifying whitespace and has been recognized repeatedly for 10 years among the IAM Strategy 300: The World’s Leading IP Strategists. Nancy’s technical education from Caltech and Harvard, her background in engineering and IP strategy, and her 25-year career as a recognized IP professional allows her to bridge the divide between engineering teams and legal departments making her a sought-after advisor and facilitator for interdisciplinary innovation strategy challenges. Jennifer C. Wolfe, Esq., APR, SSBB is an internationally recognized expert on intellectual property strategy, corporate governance, and emerging technologies. She is the former founder of one of the largest woman-owned boutique IP law firms in the U.S. and later launched Dot Brand 360, a digital strategy consultancy which she successfully exited after a decade of advising global brands. Jen has served as the Chair of the Independent Review of ICANN’s Generic Names Supporting Organization (GNSO), advising on international internet governance policy, and has been a faculty member for the National Association of Corporate Directors (NACD) on digital transformation and AI risk. A prolific author of five IP and governance books, Forbes Business Council Contributor, and keynote speaker, Jen’s thought leadership spans Fortune 100 boardrooms, international policy forums, and fast-growing startups. Her focus now lies in helping boards, general counsel and executives navigate the evolving frontier of AI and intellectual asset management.  

Chapter 1: Introduction: Why Address AI and IP Now?.- Chapter 2: AI Meets IP: The Evolution of Innovation Infrastructure.- Chapter 3: Who Owns AI-Generated Work?.- Chapter 4: Governance in the Age of Intelligent Machines.- Chapter 5: AI as a Tool in Managing IP.- Chapter 6: Training Data, Trade Secrets, and the Lawsuits Ahead.- Chapter 7: Detecting Infringement in the AI Era.- Chapter 8: AI Patent Strategy: What's Being Protected Now.- Chapter 9: Process, Policy, and People: Implementing IP Controls.- Chapter 10: The Silent Disruption: How AI Is Rewriting the Rules of Work and Organizational Behavior.- Chapter 11: Boardroom Readiness: Liability and Fiduciary Duties.- Chapter 12: Key Takeaways and the Road Ahead.

Erscheint lt. Verlag 30.11.2026
Zusatzinfo Approx. 300 p.
Verlagsort Berkley
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Recht / Steuern EU / Internationales Recht
Recht / Steuern Privatrecht / Bürgerliches Recht Medienrecht
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte AI • AI ethics • Artificial Intelligence • Business Strategy • generative AI • Generative AI tools • Governance • Intellectual Property • IP • legal precedent • Risk
ISBN-13 979-8-8688-2387-9 / 9798868823879
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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