Cover Image

When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Alsayed, Khalid Adnan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition I.2.6; I.2.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Why Aggregate Accuracy is Inadequate for Evaluating Fairness in Law Enforcement Facial Recognition Systems
by: Alsayed, Khalid Adnan
Published: (2026)

FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
by: Ghazouali, Safouane El, et al.
Published: (2024)

Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems
by: Alsayed, Khalid Adnan
Published: (2026)

Personalized QoE Prediction: A Demographic-Augmented Machine Learning Framework for 5G Video Streaming Networks
by: Ahmed, Syeda Zunaira, et al.
Published: (2025)

Model Fusion via Retrofitting
by: Luenam, Phoomraphee, et al.
Published: (2025)

Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025)

Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)

Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice
by: Clément, Benjamin, et al.
Published: (2024)

Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production
by: Cardoso, Joao Liborio, et al.
Published: (2024)

The Arrival of AGI? When Expert Personas Exceed Expert Benchmarks
by: Mullens, Drake, et al.
Published: (2026)

Developing the Reliable Shallow Supervised Learning for Thermal Comfort using ASHRAE RP-884 and ASHRAE Global Thermal Comfort Database II
by: Karyono, Kanisius, et al.
Published: (2023)

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
by: Fan, Hongkai, et al.
Published: (2026)

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
by: Hooshyar, Danial, et al.
Published: (2023)

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
by: Hong, Yoosung
Published: (2026)

A Novel Loss Function for Deep Learning Based Daily Stock Trading System
by: Guo, Ruoyu, et al.
Published: (2025)

Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
by: Rastegar, Sarah, et al.
Published: (2023)

TelePlanNet: An AI-Driven Framework for Efficient Telecom Network Planning
by: Deng, Zongyuan, et al.
Published: (2025)

Vectra: A New Metric, Dataset, and Model for Visual Quality Assessment in E-Commerce In-Image Machine Translation
by: Wu, Qingyu, et al.
Published: (2026)

Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
by: Tan, Chee Wei, et al.
Published: (2026)

Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
by: Barry-Straume, Jostein, et al.
Published: (2026)

Benchmarking Machine Learning Uncertainty Quantification Methodologies for Predicting Turbine Gas Temperature Degradation
by: Barry-Straume, Jostein, et al.
Published: (2026)

Learning Controllable and Diverse Player Behaviors in Multi-Agent Environments
by: Cilan, Atahan, et al.
Published: (2025)

Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller
by: Zishan, Md Abu Obaida, et al.
Published: (2025)

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
by: Chen, Jiameng, et al.
Published: (2025)

MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation
by: Kwon, Chongmyung, et al.
Published: (2025)

Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment
by: Yasuno, Takato
Published: (2026)

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures
by: Carballo, Víctor, et al.
Published: (2026)

Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)

EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning
by: Sauter, Andreas, et al.
Published: (2026)

4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
by: Zeytuncu, Yunus E.
Published: (2026)

N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)

SepsisSuite: Beyond Risk Stratification -- A Comparative Analysis of Deep Fusion vs. Expert Stacking for Prescriptive Sepsis AI
by: Cartularo, Ryan
Published: (2025)

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
by: Islam, Md. Farhadul, et al.
Published: (2024)

Localizing Adversarial Attacks To Produces More Imperceptible Noise
by: Reddy, Pavan, et al.
Published: (2025)

ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder
by: Singh, Shubhankit, et al.
Published: (2026)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
by: Wu, Diankun, et al.
Published: (2025)

PhysVid: Physics Aware Local Conditioning for Generative Video Models
by: Pathak, Saurabh, et al.
Published: (2026)

Memento 2: Learning by Stateful Reflective Memory
by: Wang, Jun
Published: (2025)

Representation Learning via Non-Contrastive Mutual Information
by: Guo, Zhaohan Daniel, et al.
Published: (2025)