Managing AI Risk

<p><span style=color: rgba(0 0 0 1)>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.</span></p><p></p><p><span style=color: rgba(0 0 0 1)>The aim of this guide: to give order to the chaos of AI that is being unleashed on the world.</span></p><p><span style=color: rgba(0 0 0 1)> </span></p><p><span style=color: rgba(0 0 0 1)>The book discusses: </span></p><p></p><ul><li><span style=color: rgba(0 0 0 1)>How to build a risk-aware AI strategy;</span></li><li><span style=color: rgba(0 0 0 1)>Relevant standards and guidance such as ISO 42001 ISO 27001 and NIST;</span></li><li><span style=color: rgba(0 0 0 1)>The importance of an artificial intelligence management system (AIMS); and</span></li><li><span style=color: rgba(0 0 0 1)>The future of AI and risk management</span></li></ul><p><span style=color: rgba(0 0 0 1)>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.</span></p><p><span style=color: rgba(0 0 0 1)> </span></p><p><span style=color: rgba(0 0 0 1)>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.</span></p>