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Harnessing value from data science in business: ensuring explainability and fairness of solutions
[article]
2021
arXiv
pre-print
Preserved Fulltext
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
arXiv:2108.07714v1
fatcat:s36ftwpzyvbaxnawhtcdtpyobe