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#explainable ai Open access Sep 2026

Technical fairness and social legitimacy: a conceptual mapping of algorithmic fairness, procedural justice, and explainable AI

This study introduces a fairness-by-design framework that integrates stakeholder involvement and explainability into the development lifecycle and operationalizes this framework through the Fairness Process Card, a practical tool for documenting procedural justice mechanisms.

Arif Perdana · 0 citations
Preprint Sep 2026

Bridging Formal and Perceived Fairness: Development of an Interdisciplinary Framework in Algorithmic Decision-Making

While fairness has become a central concern in research on algorithmic systems, the field remains predominantly shaped by Computer Science, resulting in a strong emphasis on formal fairness metrics and bias mitigation strategies. Nevertheless, this focus may obscure a fundamental challenge: fairness is not merely a tec...

Maike Lindermayr, Mattia Cerrato, Luisa Hübner et al. · 0 citations
Review Open access Sep 2026

Algorithmic fairness as a human-technology interaction problem.

This article proposes that algorithmic fairness is best understood as a human-technology interaction problem rather than a purely technical challenge, and offers an interdisciplinary perspective that integrates insights from social justice, psychology, computer science, judgment and decision-making, and management.

A. Lemmens · 0 citations
Open access Sep 2026

Individual and group fairness assessments via counterfactual explanations

This study explores the potential of counterfactual explanations to assess artificial intelligence (AI) fairness, especially in critical decision-making systems. Predictive models may amplify biases inherent in data sets or algorithms, and given the absence of a universally accepted fairness metric, a case-specific app...

Federico Sabbatini, Roberta Calegari · 0 citations
Sep 2026

Fairness from an Economist’s Perspective. John Rawls versus Robert Nozick

The article is devoted to a comparative analysis of the theories of justice by John Rawls and Robert Nozick from the perspective of economic science. The choice of these concepts is due to their fundamental differences, which allow for identifying and assessing the risks of economic consequences that may arise from the...

E. Skarzhinskaya, V. Tsurikov · 0 citations

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