Managing AI Risk : A Practical Approach to Responsibly Managing AI with ISO 42001.

Format:

Book

Author/Creator:

Pattison, Andrew.

Language:

English

Physical Description:

1 online resource (93 pages)

Edition:

1st ed.

Place of Publication:

Ely : IT Governance Ltd, 2025.

Summary:

The aim of this guide: to give order to the chaos of AI that is being unleashed on the world.

Contents:

Cover

Title

Copyright

About the Author

Contents

Chapter One: Understanding AI and organisational risk

Introduction: Why has this book been written?

Why AI and risk management matter

Defining risk in the age of AI

The AI revolution: Opportunities and challenges for organisations

The ethical dimensions of AI

The philosophical dimensions of AI

AI components

Development

Trends in AI technologies

AI technologies: Implications for neurodiversity

Chapter Two: Building a risk-aware AI strategy

1. Importance of an AI risk management framework

2. Integrating AI into existing risk management practices

3. Core components of an AI risk management framework

4. Governance models for AI and risk

5. Steps to implement an AI risk management framework

Chapter Three: Identifying and assessing risks

The evolving risk landscape

Data risks: Privacy, security and integrity

Algorithmic risks: Bias, transparency and accountability

Operational risks: Deployment and maintenance of AI systems

Deployment challenges

Data dependence and scalability

Maintenance and monitoring risks

Mitigating operational risks

Mitigating external risks

External risks: Regulatory, social and environmental impacts

Regulatory risks

Current regulatory situation

Social impacts and risks

Environmental impacts of AI

Chapter Four: Developing an AI management system

1. The importance of an AI management system

2. Key components of an AI management system

3. Principles of effective AI management

4. Steps to implement an AI management system

Chapter Five: The future of AI and risk

Anticipating emerging risks in AI evolution

The role of human oversight in AI systems

Adapting to rapid changes in AI and regulations

Building resilient AI-powered organisations

Conclusion.

Embracing AI responsibly: A path to sustainable innovation

Relevant standards and guidance

NIST

Further reading.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-78778-588-2

1-78778-587-4

OCLC:

1535397901