Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs

As Artificial Intelligence (AI) and Digital Transformation (DT) technologies become increasingly ubiquitous in modern society, the flaws in their designs are starting to attract attention. AI models have been shown to be susceptible to biases in the training data, especially against underrepresented...

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Bibliographic Details
Main Authors: Jiehuang Zhang, Ying Shu, Han Yu
Format: Article
Language:English
Published: Tsinghua University Press 2023-03-01
Series:International Journal of Crowd Science
Subjects:
Online Access:https://www.sciopen.com/article/10.26599/IJCS.2022.9100033