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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2023-03-01
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Series: | International Journal of Crowd Science |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/IJCS.2022.9100033 |