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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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.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.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.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.
8
Principle-Specific Techniques for Responsible AI
This chapter discusses some of the principle-specific techniques to address the RAI concerns around AI models and data. Among the ethical principles, security, reliability, and safety are considered traditional software quality attributes and well studied in the dependability community. Transparency, contestability, accountability, human-centered values, and human, societal, and environmental well-being are the principles that can be addressed by the governance patterns, process patterns, and product patterns introduced in the previous chapters. This chapter mainly focuses on the techniques to deal with fairness, privacy, and explainability, which are emerging quality attributes for AI systems. ...
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