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Evidence record 14835 · automatically gathered

Parameterized Fair Resource Allocation under Diversity Constraints

Resource allocation across multiple agent groups arises in many applications including e-commerce recommendation systems, housing assignment, and course allocation, and is commonly formulated as an optimization problem with diversity constraints to ensure group fairness. Existing approaches typically enforce these constraints as hard conditions, which overly restrict the feasible solution space and often lead to suboptimal allocations. In this paper, we propose PRA, a parameterized framework for

Record details

Published: 29 July 2026
Source: arXiv fairness query
Category: Research
Topics: Bias & fairness · Agents & autonomy
Retrieved: 30 July 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.

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How to cite this record

ethics.ai (29 July 2026), “Parameterized Fair Resource Allocation under Diversity Constraints,” evidence record 14835, https://ethics.ai/record/14835 (originally published by arXiv fairness query).

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