:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sariola, Disa, Button, Patrick, Culotta, Aron, Mattei, Nicholas
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.02152
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Auditing Fairness by Betting
by: Chugg, Ben, et al.
Published: (2023)

Cost Efficient Fairness Audit Under Partial Feedback
by: Das, Nirjhar, et al.
Published: (2025)

Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
by: Arcolezi, Héber H., et al.
Published: (2025)

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)

WohnFair: α-Fair, Cryptographically Auditable Housing Allocation
by: Siddiqui, Aqib, et al.
Published: (2025)

Equal Access, Unequal Interaction: A Counterfactual Audit of LLM Fairness
by: Amiri-Margavi, Alireza, et al.
Published: (2026)

Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
by: Yuan, Chih-Cheng Rex, et al.
Published: (2024)

Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
by: McConvey, Kelly, et al.
Published: (2026)

The Fair Game: Auditing & Debiasing AI Algorithms Over Time
by: Basu, Debabrota, et al.
Published: (2025)

SEAL: An Open, Auditable, and Fair Data Generation Framework for AI-Native 6G Networks
by: Khowaja, Sunder Ali, et al.
Published: (2026)

Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
by: Jeong, Hyejun, et al.
Published: (2024)

Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
by: Ajarra, Ayoub, et al.
Published: (2026)

Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models
by: Prakash, Shashank, et al.
Published: (2026)

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
by: Aird, Amanda, et al.
Published: (2023)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
by: Binkyte, Ruta, et al.
Published: (2022)

When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications
by: Cao, Hongliu, et al.
Published: (2026)

Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
by: Lafargue, Valentin, et al.
Published: (2025)

Auditable Agents
by: Nian, Yi, et al.
Published: (2026)

IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
by: Mohsin, Aarish Shah, et al.
Published: (2026)

Detecting Adversarial Fine-tuning with Auditing Agents
by: Egler, Sarah, et al.
Published: (2025)

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
by: Webster, Kevin T
Published: (2025)

Auditing Games for Sandbagging
by: Taylor, Jordan, et al.
Published: (2025)

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection
by: Camarato, Steffen J., et al.
Published: (2026)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
by: Amirizaniani, Maryam, et al.
Published: (2024)

Offscript: Automated Auditing of Instruction Adherence in LLMs
by: Clark, Nicholas, et al.
Published: (2025)

Causal Intervention for Fairness in Multi-behavior Recommendation
by: Wang, Xi, et al.
Published: (2022)

AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)

Symmetry Defeats Auditing
by: Merrill, Nick, et al.
Published: (2026)

MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills
by: Hou, Yingyong, et al.
Published: (2026)

AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations
by: Poungpeth, Nalin, et al.
Published: (2026)

PsychBench: Auditing Epidemiological Fidelity in Large Language Model Mental Health Simulations
by: Keough, Patrick
Published: (2026)

Fairness Interventions: A Study in AI Explainability
by: Souverain, Thomas, et al.
Published: (2024)

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection
by: Tan, Zhewen, et al.
Published: (2026)

Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)

Can AI be Auditable?
by: Verma, Himanshu, et al.
Published: (2025)

Axiomatic Choice
by: Abramowitz, Ben, et al.
Published: (2025)

The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
by: Weerts, Hilde, et al.
Published: (2024)

VERIRAG: A Post-Retrieval Auditing of Scientific Study Summaries
by: Mohole, Shubham, et al.
Published: (2025)