A Systematic Review of Fairness in Artificial Intelligence Algorithms
Article Status
Published
Authors/contributors
- Xivuri, Khensani (Author)
- Twinomurinzi, Hossana (Author)
- Dennehy, Denis (Editor)
- Griva, Anastasia (Editor)
- Pouloudi, Nancy (Editor)
- Dwivedi, Yogesh K. (Editor)
- Pappas, Ilias (Editor)
- Mäntymäki, Matti (Editor)
Title
A Systematic Review of Fairness in Artificial Intelligence Algorithms
Book Title
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
Volume
12896
Place
Cham
Publisher
Springer International Publishing
Date
2021
Pages
271-284
Language
en
ISBN
978-3-030-85446-1
Accessed
10/09/2024, 19:07
Library Catalogue
DOI.org (Crossref)
Extra
Series Title: Lecture Notes in Computer Science
DOI: 10.1007/978-3-030-85447-8_24
Citation Key: xivuri2021
<标题>: 人工智能算法公平性的系统综述
<AI Smry>: There is a lack of formalised AI terminology and definitions which subsequently results in contrasting views of AI algorithmic fairness, and the public services sector is the target of most research, particularly criminal justice and immigration, followed by the health sector.
Citation
Xivuri, K., & Twinomurinzi, H. (2021). A Systematic Review of Fairness in Artificial Intelligence Algorithms. In D. Dennehy, A. Griva, N. Pouloudi, Y. K. Dwivedi, I. Pappas, & M. Mäntymäki (Eds.), Responsible AI and Analytics for an Ethical and Inclusive Digitized Society (Vol. 12896, pp. 271–284). Springer International Publishing. https://doi.org/10.1007/978-3-030-85447-8_24
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