From the course: Complete Guide to Azure AI for ML Engineers by Microsoft Press

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Build transparency with data

Build transparency with data - Azure Tutorial

From the course: Complete Guide to Azure AI for ML Engineers by Microsoft Press

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Build transparency with data

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- [Narrator] We touched on this a little bit in the previous lesson, but let's dig into transparency a little bit more. One of the biggest concerns that people have with AI is, what is actually happening with their data? How is this going to affect them socially, economically? Who's behind these huge AI machines? And a lot of different concerns are running through our users' minds, so it helps to be transparent with what is actually going on behind the scenes. The first thing that is super important for you as a machine learning engineer or AI engineer is that you understand how the data is being used. Sometimes it's easy to see these AI applications as an exercise in technological prowess, and it is, it is fun in its own right that way. But actually be curious about how this data is being used. Where did the data come from? Are there plans for, if anything happens with the company, what happens to that data? Is the data being sold to third parties? It's important for you as an…

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