Organisations must deal with AI implementation in a practical and sensible way. They need to understand the risks and opportunities AI presents, and manage these in a way that ensures the organisation delivers on its objectives while embracing the change to its best advantage.
The aim of this guide: to give order to the chaos of AI that is being unleashed on the world.
The book discusses:
How to build a risk-aware AI strategy;
Relevant standards and guidance such as ISO 42001, ISO 27001 and NIST;
The importance of an artificial intelligence management system (AIMS); and
The future of AI and risk management
As AI systems increasingly influence decision-making across industries, new risks such as algorithmic bias, loss of privacy, lack of transparency and unintended consequences become significant.
This guide will help you to understand how to mitigate AI risk and embrace the opportunities that AI brings to an organisation by implementing an AIMS.
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 198 mm
Breite: 129 mm
Dicke: 7 mm
Gewicht
ISBN-13
978-1-78778-589-2 (9781787785892)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Andrew Pattison is the Global Head of GRC and PCI Consultancy at IT Governance, a GRC Solutions company. With a career stretching back to the mid-1990s, Andrew has worked extensively in information security, risk management and business continuity. He is currently supporting several major international organisations implement robust governance and risk approaches for the use and development of AI. He holds an MSc in Information Systems Management, is a certified auditor, and is accredited with both CISM (R) and CRISC (R) certifications. Alongside his consultancy work, Andrew has delivered comprehensive training across multiple GRC disciplines, including DORA, NIS, NIST, ISO/IEC 27001, business continuity, CRISC and CISM.
Chapter One: Understanding AI and organisational risk
Chapter Two: Building a risk-aware AI strategy
Chapter Three: Identifying and assessing risks
Chapter Four: Developing an AI management system
Chapter Five: The future of AI and risk
Conclusion
Further reading
