Synthesis of Software Development and Database Systems; Explainability in AI for the Purpose of Contestability

John Taylor
A common problem with many Artificial Intelligence systems is a lack of transparency about their internal models which makes it hard to explain the results of these systems. This lack of explainability is a significant issue since these systems’ decisions can have significant impacts on real people. These systems are not infallible, and it is important that measures are in place for humans to step in and correct mistakes made by AI. These systems cannot...
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