December 2023
Intermediate to advanced
320 pages
8h 29m
English
Responsible AI issues go beyond data and algorithms and are often at the system level, cross-cutting many system components and the entire software engineering lifecycle. The industry lacks tools to translate high-level principles to verifiable and actionable criteria for designing and deploying AI systems.1 This chapter identifies one missing element as the system-level guidance—how to design the architecture of responsible AI systems. We present a collection of product patterns (i.e., architectural design patterns in software engineering) for the design of responsible AI systems. Such patterns can be embedded into the AI systems as product features or a piece of structural design that is across ...
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