Users’ trust in black-box machine learning algorithms

Purpose – This paper aims to investigate whether professional data analysts’ trust of black-box systems is increased by explainability artifacts. Design/methodology/approach – The study was developed in two phases. First a black-box prediction model was estimated using artificial neural networks, an...

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Bibliographic Details
Main Authors: Heitor Hoffman Nakashima, Daielly Mantovani, Celso Machado Junior
Format: Article
Language:Portuguese
Published: Emerald Publishing 2024-06-01
Series:REGE Revista de Gestão
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/REGE-06-2022-0100/full/pdf