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Describe considerations for fairness in an AI solution

Describe considerations for fairness 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 fairness in an AI solution

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- [Instructor] Well, as I said at the beginning of the previous lesson, before we walk, we've got to crawl. So what is responsible AI? This is Microsoft's six pillar framework that describes AI as having to be trustworthy, ethical, and beneficial to all, above all else. And then more specifically, when we leverage AI in our solutions, we're looking to prevent bias, errors, unfair decisions, ensuring safety, security, and user privacy, building trust and transparency with stakeholders. The six responsible AI principles or pillars are fairness, reliability, privacy, inclusiveness, transparency, and accountability. Now, this is another subject, I think I alluded to it, that you can pick up some easy points on the exam by mastering. What does the fairness pillar mean when we're using AI in our solutions? And that solution could be an internal corporate intranet. It could be a customer-facing e-commerce site, whatever it might be. We are putting controls in our AI to prevent it from…

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