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Managing AI Risk: A practical approach to responsibly managing AI with ISO 42001
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 to give order to the chaos of AI that is being unleashed on the world.
The book 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); andThe future of AI and risk managementIn very simple terms, risk is something that has the potential to stop an organisation reaching its objectives. From that perspective, it’s not complicated, and risk management does not have to be complicated (although it often is). When we look at technology, risk can be a little more complicated than other areas, as we are quite often dealing with something that is difficult to quantify because it is new.
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.
The aim of this to give order to the chaos of AI that is being unleashed on the world.
The book 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); andThe future of AI and risk managementIn very simple terms, risk is something that has the potential to stop an organisation reaching its objectives. From that perspective, it’s not complicated, and risk management does not have to be complicated (although it often is). When we look at technology, risk can be a little more complicated than other areas, as we are quite often dealing with something that is difficult to quantify because it is new.
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.
92 pages, Kindle Edition
Published September 1, 2025
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