AI ethics evidence index Search
Source-linked daily record
Evidence record 597 · automatically gathered

Scoring Is Not Enough: Addressing Gaps in Utility-fairness Trade-offs for Ranking

Scoring functions are used to represent the relevance of individual documents. In modern information retrieval or recommendation systems, they are often learned from data and play a pivotal role in ranking sets of documents or items in a way that maximizes utility to a query or user. With the recent interest in algorithmic fairness, the success of scoring has naturally led to methods that learn scores that simultaneously trade off fairness and utility. In this work, we show that in stark contras

Record details

Published: 24 June 2026
Source: arXiv
Category: Research
Topics: Bias & fairness
Retrieved: 14 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.

Shared topic: Bias & fairness

Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning

arXiv cs.CR (AI security) · 24 June 2026

Shared topic: Bias & fairness

Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks

arXiv · 25 June 2026

Shared topic: Bias & fairness

Statistical and Structural Approaches to Algorithmic Fairness

arXiv · 24 June 2026

Shared topic: Bias & fairness

Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)

arXiv · 25 June 2026

Shared topic: Bias & fairness

FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation

arXiv · 23 June 2026

Shared topic: Bias & fairness

MMed-Bench-IR: A Heterogeneous Benchmark for Multilingual Medical Information Retrieval

arXiv · 23 June 2026

How to cite this record

ethics.ai (24 June 2026), “Scoring Is Not Enough: Addressing Gaps in Utility-fairness Trade-offs for Ranking,” evidence record 597, https://ethics.ai/record/597 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.