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