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Evidence record 18806 · automatically gathered

The Accuracy Trap: Structural Scarcity Amplifies Relative Inequality in Algorithmic Allocation

Algorithmic systems increasingly rank individuals for access to scarce public resources, from child welfare interventions to cancer treatment referrals. The prevailing fairness frame treats disparity as a property of biased data or deficient models, with remedies through calibration and debiasing. Under structural scarcity, where demand exceeds supply by an order of magnitude, allocation becomes a rationing problem, and the statistical properties of ranking diverge sharply from those of classifi

Record details

Published: 11 August 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Children & education
Retrieved: 13 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline · Shared topic: Bias & fairness

The Accuracy Trap: Structural Scarcity Amplifies Relative Inequality in Algorithmic Allocation

arXiv cs.CY · 13 August 2026

Shared topic: Bias & fairness · Shared topic: Children & education

Two-Phase Simulated Annealing for Equitable Team Formation: Eliminating Complaints in Large Engineering Cohorts

arXiv cs.CY · 12 August 2026

Shared topic: Bias & fairness · Shared topic: Children & education

Neuro-symbolic pedagogical alignment (NSPA) for long-horizon classroom discourse analysis: Mitigating dialect bias via counterfactual preference optimization

Computers and Education: Artificial Intelligence · 12 August 2026

Shared topic: Bias & fairness · Shared topic: Children & education

Privileged, but Biased: How PI-Conditioned Teachers Break Self-Distillation

arXiv cs.AI · 5 August 2026

Shared topic: Bias & fairness · Shared topic: Children & education

Comparative Validation of GPT-4o-mini and Teacher Mean Scores for Automated Scoring of Music Analysis Responses: Single-Pass Deployment, Repeatability, and Strategy-Specific Bias

arXiv cs.HC · 3 August 2026

Shared topic: Bias & fairness · Shared topic: Children & education

Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Education

arXiv · 3 August 2026

How to cite this record

ethics.ai (11 August 2026), “The Accuracy Trap: Structural Scarcity Amplifies Relative Inequality in Algorithmic Allocation,” evidence record 18806, https://ethics.ai/record/18806 (originally published by arXiv).

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