Leading AI Risk Management

A Framework for Innovating Safely and Building Trust
Erscheinungsjahr 2027
ISBN: 978-3-032-45852-0
Verlag: Palgrave Macmillan

Buch, Englisch, Format (B × H): 148 mm x 210 mm

Artificial intelligence is transforming how organizations operate, innovate, and compete, but it also introduces new challenges in governance, risk, security, and accountability. This book provides leaders with proven frameworks for adopting AI responsibly while maintaining control over its risks. Written by Alec Crawford, a Harvard-trained AI expert and CEO of a leading AI risk firm, it equips readers with actionable frameworks for governance, risk management, compliance, and cybersecurity tailored to the realities of AI adoption.

Inside, you’ll find tools like The AI Journey, a roadmap for safe implementation; AI GRCC, an integrated framework for Governance, Risk, Compliance, and Cybersecurity; and The AI Team, a model for defining roles, responsibilities, and oversight. Real-world examples and cautionary case studies demonstrate how governance failures occur and what organizations can do to prevent them.

Whether you’re a business executive, risk professional, compliance leader, or technology manager, this book helps you balance innovation with oversight, navigate an evolving regulatory landscape, and build trustworthy AI-enabled organizations. Accessible yet authoritative, it’s essential reading for anyone shaping strategy in the AI era.

Zielgruppe

Popular/general

Autoren/Hrsg.

Crawford, Alec

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie

Inhaltsverzeichnis

Ch 1: Introduction.- Ch 2: The AI Revolution.- Ch 3: AI-Driven Economics.- Ch 4: The Race for “Artificial General Intelligence”.- Ch 5: You Get the AI You Deserve.- Ch 6: Mitigating Risks along the AI Journey.- Ch 7: Formulating Organizational AI Policy.- Ch 8: AI Maturity Framework.- Ch 9: AI Transformation.- Ch 10: Managing Data and AI Model Integrity.- Ch 11: A Framework for AI Procedures.- Ch 12: Addressing AI Ethical Risks.- Ch 13: Applying AI Risk Management Frameworks.- Ch 14: AI Governance.- Ch 15: AI Cybersecurity Risks.- Ch 16: Managing the Risks of AI Commerce.- Ch 17: The Risks and Benefits of Open-Source AI Models.- Ch 18: The Future of Work and Risks in an AI Era.- Ch 19: The Ten A’s: A Principles-Based AI Risk Management Framework.- Ch 20: What Do We Deserve?.

Über Autor(innen)

Alec Crawford has been at the forefront of artificial intelligence and risk management for nearly four decades. His journey began in 1987 at Harvard College, where he designed and built neural networks long before AI entered the mainstream.

He went on to hold senior positions at Goldman Sachs and Morgan Stanley before becoming Partner and Chief Investment Risk Officer at Lord Abbett, where he oversaw global investment risk and spearheaded initiatives applying AI to investment management.

Today, Alec is the Founder and CEO of Verapath, a pioneering company that helps financial institutions adopt AI securely and responsibly, and the inventor of patented systems for AI Governance, Risk, Compliance, and Cybersecurity (AI GRCC).

An independent corporate director, sought-after speaker, and host of the top-ranked AI podcast , Alec combines deep technical expertise and senior financial leadership with a practical perspective on building trust in AI.