Artificial intelligence (AI) is advancing at a remarkable pace, with Large Language Models driving new discussions around AI risks and safe usage. At the same time, governments worldwide are increasingly focusing on AI, introducing guidelines and legislation to promote responsible practices among developers and users alike.

This rapid evolution of AI technology, coupled with the changing regulatory landscape, underscores the urgency for businesses to adopt AI governance frameworks. But what does AI governance entail?

AI governance encompasses the processes and safeguards that organizations can implement when deploying and interacting with AI systems. These measures help ensure ethical practices by enabling organizations to effectively manage, monitor, and audit the data inputs and outputs of AI technologies.

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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