From the course: Microsoft Azure AI Engineer Associate (AI-102) Cert Prep by Microsoft Press

Unlock this course with a free trial

Join today to access over 25,100 courses taught by industry experts.

Ensure fairness and transparency in AI solutions

Ensure fairness and transparency in AI solutions - Azure Tutorial

From the course: Microsoft Azure AI Engineer Associate (AI-102) Cert Prep by Microsoft Press

Start my 1-month free trial Buy for my team

Ensure fairness and transparency in AI solutions

“

- [Instructor] As this lesson says on the proverbial tin, this lesson is about the six pillar Microsoft Responsible AI Framework. There's the attribution down at the bottom of this slide, go.techtrainertim.com/rai. This framework guides how we design, build, and deploy AI solutions that meet ethical, legal, and social standards. So let's go through these six pillars. These are important because, number one, responsible AI shows up on just about all of the Microsoft Azure exam. So it's an easy way to pick up points. And also number two, we are subject as customers of Microsoft to these same principles that they practice. Fairness. We ensure models treat all people and groups equitably by detecting, measuring, and mitigating bias and data in predictions. So we're sculpting this to our AI-powered solutions, which is we've seen in the course often involve personally identifiable information and other secrets. Two, reliability and safety. We validate performance under real world…

Contents