Updated Ai Government Guide Data Literate Leaders

ScottLogic · Oct 25, 2023 · 4609509 · 4609509
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@@ -49,7 +49,7 @@ Be wary of AI-centric project proposals and remember that most [AI projects aren
 
 ### Familiarise yourself with the technologies
 
-It’s important to gain a good understanding of the capabilities of different AI technologies so that you’re able to recognise real opportunities within your organisational challenges. This doesn’t require you to become expert in any of them. Focus on having enough understanding of the capabilities and risks inherent in different AI technologies to allow you to ask the right questions and make the right judgements in selecting and leading projects that use AI. At Scott Logic, we’ve been [busy blogging about AI](https://blog.scottlogic.com/category/ai.html) for a few years now – hopefully, you’ll find some useful material there to help build out your expertise.
+It’s important to gain a good understanding of the capabilities of different AI technologies so that you’re able to recognise real opportunities within your organisational challenges. This doesn’t require you to become expert in any of them. Focus on having enough understanding of the capabilities and risks inherent in different AI technologies to allow you to ask the right questions and make the right judgements in selecting and leading projects that use AI. The technologies may be new, but the questions you need to ask are familiar and include considerations on ethics, ROI, data security, and legal and regulatory compliance. At Scott Logic, we’ve been [busy blogging about AI](https://blog.scottlogic.com/category/ai.html) for a few years now – hopefully, you’ll find some useful material there to help build out your expertise.
 
 Within the public sector at least, it’s likely that most use cases at this stage will begin as trials and require some experimentation to test your hypotheses. This experimentation comes with a degree of failure and learning baked into it. The examples above show the benefits of having some success with using AI to solve issues, but experimenting in this way takes time and also comes with a cost and a high likelihood of at least some failure and/or rework.