From the course: Microsoft Azure AI Fundamentals (AI-900) Cert Prep by Microsoft Press

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Describe considerations for accountability in an AI solution

Describe considerations for accountability in an AI solution - Azure AI Services Tutorial

From the course: Microsoft Azure AI Fundamentals (AI-900) Cert Prep by Microsoft Press

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Describe considerations for accountability in an AI solution

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- [Instructor] Ultimately we need a human in the loop, preferably several humans. AI needs human oversight, and we, the people, are responsible for any outcomes generated by AI. How do we do this? Assigning accountability. I mean, responsible AI is not just something that we need to know in theory for our AI-900 certification exam success. We, by virtue of being customers of Microsoft Azure AI services, by that definition in the acceptable use policy, we agree with and practice those responsible AI principles. So creating an AI ethics committee for your org, very good idea. An AI governance team, absolutely critical I would say. You're monitoring the AI services, you're fixing, you're being proactive. We are early days. Let's face it. This generative AI boom is just like the internet was in the mid 90's, at least it was for me. We want to log decisions for posterity and also for future auditing. And one more thing about auditing, AI is never going to forget. So you can feed it, audit…

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