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: Zhang, Jiehuang, Shu, Ying, Yu, Han
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/174587
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Institution: Nanyang Technological University
Language: English