Artificial intelligence (AI) continues to evolve at an astonishing pace, with Large Language Models now leading new discourse about AI risk and safe usage. Meanwhile, governments worldwide are taking more interest in AI and are introducing guidance documents and legislation to encourage responsible use by both developers and end-users.

The rapid developments in AI technology and the regulatory landscape highlight the pressing need for businesses to consider implementing AI governance frameworks.

But what exactly is AI governance?

AI governance broadly refers to the processes and safety measures an organisation can put in place when deploying and engaging with AI. These measures will help organisations maintain an ethical posture, by enabling companies to better manage, audit and observe the data inputs and outputs of AI technology.

Report highlights:

• Understand the risk of using Generative AI
• Stay up to date with the latest regulations and guidelines
• Examine the pillars of AI governance
• Consider your companies case and factors that may affect your AI governance framework
• Choose an AI governance maturity level to aim for
  

In this report, we examine these 5 steps you can take to stay ahead of the curve in preparation for your AI journey.

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