Cover Image

Fuck the Algorithm: Conceptual Issues in Algorithmic Bias

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Stinson, Catherine
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Nonlinear Algorithmic Bias in Binary Classification
by: Hui, Wendy, et al.
Published: (2023)

Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
by: Ding, Xueying, et al.
Published: (2024)

Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
by: Simson, Jan, et al.
Published: (2025)

Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
by: Holstege, Floris, et al.
Published: (2025)

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
by: Ganesh, Prakhar, et al.
Published: (2024)

Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
by: Švábenský, Valdemar, et al.
Published: (2024)

The Role of Learning Algorithms in Collective Action
by: Ben-Dov, Omri, et al.
Published: (2024)

Time Can Invalidate Algorithmic Recourse
by: De Toni, Giovanni, et al.
Published: (2024)

Unprocessing Seven Years of Algorithmic Fairness
by: Cruz, André F., et al.
Published: (2023)

Falsifying Predictive Algorithm
by: Coston, Amanda
Published: (2026)

What Constitutes a Less Discriminatory Algorithm?
by: Laufer, Benjamin, et al.
Published: (2024)

The Impact of Differential Feature Under-reporting on Algorithmic Fairness
by: Akpinar, Nil-Jana, et al.
Published: (2024)

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
by: Pataranutaporn, Pat, et al.
Published: (2025)

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
by: Chen, Jun-Hao, et al.
Published: (2025)

Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular Prediction
by: Lee, Xiao Qi, et al.
Published: (2026)

Machine Learning Algorithms for Detecting Mental Stress in College Students
by: Singh, Ashutosh, et al.
Published: (2024)

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
by: Bell, Andrew, et al.
Published: (2024)

Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
by: Somerstep, Seamus, et al.
Published: (2024)

Statistical Guarantees in the Search for Less Discriminatory Algorithms
by: Hays, Chris, et al.
Published: (2025)

Beyond Predictive Algorithms in Child Welfare
by: Moon, Erina Seh-Young, et al.
Published: (2024)

Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs
by: Szlosek, Donald, et al.
Published: (2024)

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications
by: Agarwal, Ankita, et al.
Published: (2024)

User Strategization and Trustworthy Algorithms
by: Cen, Sarah H., et al.
Published: (2023)

An Effective Theory of Bias Amplification
by: Subramonian, Arjun, et al.
Published: (2024)

Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
by: Kakadiaris, Alexandra
Published: (2023)

Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond
by: Ceccon, Marina, et al.
Published: (2025)

The Relative Value of Prediction in Algorithmic Decision Making
by: Perdomo, Juan Carlos
Published: (2023)

Fair and Accurate Regression: Strong Formulations and Algorithms
by: Deza, Anna, et al.
Published: (2024)

Algorithmic Arbitrariness in Content Moderation
by: Gomez, Juan Felipe, et al.
Published: (2024)

Strategic Hiring under Algorithmic Monoculture
by: Baek, Jackie, et al.
Published: (2025)

Algorithmic Collective Action with Two Collectives
by: Karan, Aditya, et al.
Published: (2025)

The Stability of Online Algorithms in Performative Prediction
by: Farina, Gabriele, et al.
Published: (2026)

NudgeRank: Digital Algorithmic Nudging for Personalized Health
by: Chiam, Jodi, et al.
Published: (2024)

Supervised Algorithmic Fairness in Distribution Shifts: A Survey
by: Shao, Minglai, et al.
Published: (2024)

OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
by: Meding, Kristof, et al.
Published: (2023)

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
by: Alur, Rohan, et al.
Published: (2024)

A Principled Approach for Data Bias Mitigation
by: Scarone, Bruno, et al.
Published: (2024)

Bias Amplification Enhances Minority Group Performance
by: Li, Gaotang, et al.
Published: (2023)

Feature Importance Disparities for Data Bias Investigations
by: Chang, Peter W., et al.
Published: (2023)