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arXiv · 2108.07714

Harnessing value from data science in business: ensuring explainability and fairness of solutions

Krzysztof Chomiak·Michał Miktus
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Abstract

The paper introduces concepts of fairness and explainability (XAI) in artificial intelligence, oriented to solve a sophisticated business problems. For fairness, the authors discuss the bias-inducing specifics, as well as relevant mitigation methods, concluding with a set of recipes for introducing fairness in data-driven organizations. Additionally, for XAI, the authors audit specific algorithms paired with demonstrational business use-cases, discuss a plethora of techniques of explanations quality quantification and provide an overview of future research avenues.

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Krzysztof Chomiak, Michał Miktus. 2021-08-10. Harnessing value from data science in business: ensuring explainability and fairness of solutions. https://arxiv.org/abs/2108.07714

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