ISBN: 9786208432041 - think like an ai risk manager (13 resultados)

Condición: New.

Condición: New. In English.

Condición: New.

Paperback. Condición: new. Paperback. As AI adoption accelerates across industries, AI risk management has become essential to ensure trust, compliance, and ethical AI deployment. This book provides a comprehensive guide to identifying, assessing, and mitigating AI risks while aligning with global regulatory standards and best practices.Starting with an introduction to AI risk management, the book explores AI ethics, responsible AI principles, and key challenges, such as bias, fairness, transparency, and security vulnerabilities. It outlines AI risk identification frameworks and strategies for managing data, algorithmic, and operational risks in AI systems.The book delves into the regulatory landscape, covering compliance requirements from frameworks like the EU AI Act, GDPR, and NIST AI Risk Management Framework. It introduces AI governance models and highlights the importance of explainability and transparency in mitigating AI risks.Readers will gain insights into AI risk mitigation techniques, crisis management strategies, and incident response protocols, ensuring resilience against AI failures and adversarial threats. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 80 pp. Englisch.

Paperback. Condición: new. Paperback. As AI adoption accelerates across industries, AI risk management has become essential to ensure trust, compliance, and ethical AI deployment. This book provides a comprehensive guide to identifying, assessing, and mitigating AI risks while aligning with global regulatory standards and best practices.Starting with an introduction to AI risk management, the book explores AI ethics, responsible AI principles, and key challenges, such as bias, fairness, transparency, and security vulnerabilities. It outlines AI risk identification frameworks and strategies for managing data, algorithmic, and operational risks in AI systems.The book delves into the regulatory landscape, covering compliance requirements from frameworks like the EU AI Act, GDPR, and NIST AI Risk Management Framework. It introduces AI governance models and highlights the importance of explainability and transparency in mitigating AI risks.Readers will gain insights into AI risk mitigation techniques, crisis management strategies, and incident response protocols, ensuring resilience against AI failures and adversarial threats. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As AI adoption accelerates across industries, AI risk management has become essential to ensure trust, compliance, and ethical AI deployment. This book provides a comprehensive guide to identifying, assessing, and mitigating AI risks while aligning with global regulatory standards and best practices.Starting with an introduction to AI risk management, the book explores AI ethics, responsible AI principles, and key challenges, such as bias, fairness, transparency, and security vulnerabilities. It outlines AI risk identification frameworks and strategies for managing data, algorithmic, and operational risks in AI systems.The book delves into the regulatory landscape, covering compliance requirements from frameworks like the EU AI Act, GDPR, and NIST AI Risk Management Framework. It introduces AI governance models and highlights the importance of explainability and transparency in mitigating AI risks.Readers will gain insights into AI risk mitigation techniques, crisis management strategies, and incident response protocols, ensuring resilience against AI failures and adversarial threats. …

Paperback. Condición: new. Paperback. As AI adoption accelerates across industries, AI risk management has become essential to ensure trust, compliance, and ethical AI deployment. This book provides a comprehensive guide to identifying, assessing, and mitigating AI risks while aligning with global regulatory standards and best practices.Starting with an introduction to AI risk management, the book explores AI ethics, responsible AI principles, and key challenges, such as bias, fairness, transparency, and security vulnerabilities. It outlines AI risk identification frameworks and strategies for managing data, algorithmic, and operational risks in AI systems.The book delves into the regulatory landscape, covering compliance requirements from frameworks like the EU AI Act, GDPR, and NIST AI Risk Management Framework. It introduces AI governance models and highlights the importance of explainability and transparency in mitigating AI risks.Readers will gain insights into AI risk mitigation techniques, crisis management strategies, and incident response protocols, ensuring resilience against AI failures and adversarial threats. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As AI adoption accelerates across industries, AI risk management has become essential to ensure trust, compliance, and ethical AI deployment. This book provides a comprehensive guide to identifying, assessing, and mitigating AI risks while aligning with global regulatory standards and best practices.Starting with an introduction to AI risk management, the book explores AI ethics, responsible AI principles, and key challenges, such as bias, fairness, transparency, and security vulnerabilities. It outlines AI risk identification frameworks and strategies for managing data, algorithmic, and operational risks in AI systems.The book delves into the regulatory landscape, covering compliance requirements from frameworks like the EU AI Act, GDPR, and NIST AI Risk Management Framework. It introduces AI governance models and highlights the importance of explainability and transparency in mitigating AI risks.Readers will gain insights into AI risk mitigation techniques, crisis management strategies, and incident response protocols, ensuring resilience against AI failures and adversarial threats.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. …