December 2023
Intermediate to advanced
320 pages
8h 29m
English
book
Responsible AI: Best Practices for Creating Trustworthy AI Systems
by CSIRO, Qinghua Lu, Jon Whittle, Xiwei Xu, Liming Zhu
Content preview from Responsible AI: Best Practices for Creating Trustworthy AI Systems
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Part III
Case Studies
We introduced generic patterns for all the AI ethics principles in the previous chapters. The question remains: How can organizations effectively govern the development and use of AI systems using these patterns?
In Part III of this book, we discuss three case studies to help organizations apply the patterns in different contexts: 1) a specific company context (i.e., Telstra); 2) a specific use case context (i.e., talent acquisition); and 3) a more generic use case to select/adapt the patterns to create a coherent set of guidelines for a particular concern, namely, diversity and inclusion in AI.
Here, we briefly introduce each case study, with particular reference to which patterns in the catalogue have been applied.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.