Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges
Abstract
:1. Introduction
2. Representing Human Ethical Requirements in AML-Enabled Traffic Predictions
2.1. Ethical Requirements
2.2. Representing Ethical Requirements in AML
2.3. Opposing Interpretations of Ethical Requirement Representations
3. Representing Human Ethical Requirements in AML-Enabled Diagnoses
3.1. Ethical Requirements
3.2. Representing Ethical Requirements in AML
3.3. Opposing Interpretations of Ethical Requirement Representations
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Fox, S.; Rey, V.F. Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges. Mach. Learn. Knowl. Extr. 2024, 6, 580-592. https://doi.org/10.3390/make6010027
Fox S, Rey VF. Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges. Machine Learning and Knowledge Extraction. 2024; 6(1):580-592. https://doi.org/10.3390/make6010027
Chicago/Turabian StyleFox, Stephen, and Vitor Fortes Rey. 2024. "Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges" Machine Learning and Knowledge Extraction 6, no. 1: 580-592. https://doi.org/10.3390/make6010027