In this video, learn what companies have well-known policies when it comes to responsible machine learning and responsible AI and how they shape the way systems are designed.
(cheerful music) … - [Narrator] So for the past few challenges, … we've been looking at a made … up company Binaryville and thinking … about some of the challenges they have faced when thinking … about using data to build … and deploy machine learning models. … So think about everything we've talked about … in the course so far, for example, … one of LinkedIn's core values is members first. … And this means thinking … about when you create a system, how it affects people … and what's been done from their point of view, this type … of thinking helps you get out of the building and think … about exactly how your decisions are impacting people … at the end of the day. For this challenge, … can you try and identify an instance … of when AI has been used responsibly … and also when it's not used responsibly? … So it's not always black and white, but now … that you've seen a number of different tools and processes … that organizations go through … when creating automated systems, … think about if they've thought …
Skill Level Beginner
Becoming an AI-First Product Leaderwith Tomer Cohen32m 37s Beginner
Debiasing AI Using Amazon SageMakerwith Kesha Williams1h 42m Intermediate
AI in Business Essential Trainingwith Michael McDonald1h 25m Intermediate
2. Overview and Risks
4. Best Practices
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