Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies

[2411.13184] Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Systems and Control arXiv:2411.13184 (eess) [Submitted on 20 Nov 2024] Title: Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies Authors: Kevin Riehl , Michail Makridis , Anastasios Kouvelas View a PDF of the paper titled Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies, by Kevin Riehl and 2 other authors View PDF HTML (experimental) Abstract: Advancements in computer science, artificial intelligence, and control systems of the recent have catalyzed the emergence of cybernetic societies, where algorithms play a significant role in decision-making processes affecting the daily life of humans in almost every aspect. Algorithmic decision-making expands into almost every industry, government processes critical infrastructure, and shapes the life-reality of people and the very fabric of social interactions and communication. Besides the great potentials to improve efficiency and reduce corruption, missspecified cybernetic systems harbor the threat to create societal inequities, systematic discrimination, and dystopic, totalitarian societies. Fairness is a crucial component in the design of cybernetic systems, to promote cooperation between selfish individuals, to achieve better outcomes at the system level, to confront public resistance, to gain trust and acceptance for rules and institutions, to perforate self-reinforcing cycles of poverty through social mobility, to incentivize motivation, contribution and satisfaction of people through inclusion, to increase social-cohesion in groups, and ultimately to improve life quality. Quantitative descriptions of fairness are crucial to reflect equity into algorithms, but only few works in the fairness literature offer such measures; the existing quantitative measures in the literature are either too application-specific, suffer from undesirable characteristics, or are not ideology-agnostic. Therefore, this work proposes a quantitative, transactional, distributive fairness framework, which enables systematic design of socially feasible decision-making systems. Moreover, it emphasizes the importance of fairness and transparency when designing algorithms for equitable, cybernetic societies. Subjects: Systems and Control (eess.SY) Cite as: arXiv:2411.13184 [eess.SY] (or arXiv:2411.13184v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2411.13184 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Computers in Human Behavior: Artificial Humans 2026 Related DOI : https://doi.org/10.1016/j.chbah.2025.100236 Focus to learn more DOI(s) linking to related resources Submission history From: Kevin Riehl [ view email ] [v1] Wed, 20 Nov 2024 10:33:02 UTC (772 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies, by Kevin Riehl and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: eess.SY < prev | next > new | recent | 2024-11 Change to browse by: cs cs.SY eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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