arXiv Open Access 2021

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

Krzysztof Chomiak Michał Miktus

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Abstrak

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.

Topik & Kata Kunci

cs.CY cs.LG

Penulis (2)

Krzysztof Chomiak

Michał Miktus

Format Sitasi

APA MLA BibTeX

Chomiak, K., Miktus, M. (2021). Harnessing value from data science in business: ensuring explainability and fairness of solutions. https://arxiv.org/abs/2108.07714

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓