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Chapter and Conference Paper
A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence Systems for Textual Contexts
With the ever-growing usage of artificial intelligence in business decisions, organizations, and the day-to-day lives of the society at large, it is imperative that different forms of biases that human beings ...
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Chapter and Conference Paper
Feature Store for Enhanced Explainability in Support Ticket Classification
In order to maximize trust between human and ML agents in an ML application scenario, humans need to be able to easily understand the reasoning behind predictions made by the black box models commonly used tod...