Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
Fuente:
arXiv
Guardado en:
| Autores principales: | Hartmann, David, Pohlmann, Lena, Hanslik, Lelia, Gießing, Noah, Berendt, Bettina, Delobelle, Pieter |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Human-Centred LLM Privacy Audits: Findings and Frictions
por: Staufer, Dimitri, et al.
Publicado: (2026)
por: Staufer, Dimitri, et al.
Publicado: (2026)
A Systematic Review of Echo Chamber Research: Comparative Analysis of Conceptualizations, Operationalizations, and Varying Outcomes
por: Hartmann, David, et al.
Publicado: (2024)
por: Hartmann, David, et al.
Publicado: (2024)
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
por: Hartmann, David, et al.
Publicado: (2024)
por: Hartmann, David, et al.
Publicado: (2024)
Black-Box Access is Insufficient for Rigorous AI Audits
por: Casper, Stephen, et al.
Publicado: (2024)
por: Casper, Stephen, et al.
Publicado: (2024)
White-Box Sensitivity Auditing with Steering Vectors
por: Cyberey, Hannah, et al.
Publicado: (2026)
por: Cyberey, Hannah, et al.
Publicado: (2026)
Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular Prediction
por: Lee, Xiao Qi, et al.
Publicado: (2026)
por: Lee, Xiao Qi, et al.
Publicado: (2026)
Can AI be Auditable?
por: Verma, Himanshu, et al.
Publicado: (2025)
por: Verma, Himanshu, et al.
Publicado: (2025)
What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data
por: Staufer, Dimitri, et al.
Publicado: (2026)
por: Staufer, Dimitri, et al.
Publicado: (2026)
Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
por: Bourrée, Jade Garcia, et al.
Publicado: (2023)
por: Bourrée, Jade Garcia, et al.
Publicado: (2023)
Distribution-Specific Auditing For Subgroup Fairness
por: Hsu, Daniel, et al.
Publicado: (2024)
por: Hsu, Daniel, et al.
Publicado: (2024)
Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
por: Hartmann, David, et al.
Publicado: (2024)
por: Hartmann, David, et al.
Publicado: (2024)
Cost Efficient Fairness Audit Under Partial Feedback
por: Das, Nirjhar, et al.
Publicado: (2025)
por: Das, Nirjhar, et al.
Publicado: (2025)
Auditing Fairness by Betting
por: Chugg, Ben, et al.
Publicado: (2023)
por: Chugg, Ben, et al.
Publicado: (2023)
Auditing Fairness under Unobserved Confounding
por: Byun, Yewon, et al.
Publicado: (2024)
por: Byun, Yewon, et al.
Publicado: (2024)
AuditMAI: Towards An Infrastructure for Continuous AI Auditing
por: Waltersdorfer, Laura, et al.
Publicado: (2024)
por: Waltersdorfer, Laura, et al.
Publicado: (2024)
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
por: Armstrong, Lena, et al.
Publicado: (2024)
por: Armstrong, Lena, et al.
Publicado: (2024)
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2024)
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2024)
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
por: McConvey, Kelly, et al.
Publicado: (2026)
por: McConvey, Kelly, et al.
Publicado: (2026)
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing
por: Fang, Shiqi, et al.
Publicado: (2024)
por: Fang, Shiqi, et al.
Publicado: (2024)
Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness
por: Singhal, Mohit, et al.
Publicado: (2023)
por: Singhal, Mohit, et al.
Publicado: (2023)
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups
por: Giannopoulos, Giorgos, et al.
Publicado: (2024)
por: Giannopoulos, Giorgos, et al.
Publicado: (2024)
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives
por: Langer, Markus, et al.
Publicado: (2021)
por: Langer, Markus, et al.
Publicado: (2021)
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
por: Xian, Ruicheng, et al.
Publicado: (2025)
por: Xian, Ruicheng, et al.
Publicado: (2025)
Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
por: Jeong, Hyejun, et al.
Publicado: (2024)
por: Jeong, Hyejun, et al.
Publicado: (2024)
Impact Matters! An Audit Method to Evaluate AI Projects and their Impact for Sustainability and Public Interest
por: Züger, Theresa, et al.
Publicado: (2026)
por: Züger, Theresa, et al.
Publicado: (2026)
AuditWen:An Open-Source Large Language Model for Audit
por: Huang, Jiajia, et al.
Publicado: (2024)
por: Huang, Jiajia, et al.
Publicado: (2024)
When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications
por: Cao, Hongliu, et al.
Publicado: (2026)
por: Cao, Hongliu, et al.
Publicado: (2026)
Auditing Agent Harness Safety
por: Liu, Chengzhi, et al.
Publicado: (2026)
por: Liu, Chengzhi, et al.
Publicado: (2026)
AuditGPT: Auditing Smart Contracts with ChatGPT
por: Xia, Shihao, et al.
Publicado: (2024)
por: Xia, Shihao, et al.
Publicado: (2024)
Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification
por: Staufer, Dimitri, et al.
Publicado: (2024)
por: Staufer, Dimitri, et al.
Publicado: (2024)
Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models
por: Prakash, Shashank, et al.
Publicado: (2026)
por: Prakash, Shashank, et al.
Publicado: (2026)
The Fair Game: Auditing & Debiasing AI Algorithms Over Time
por: Basu, Debabrota, et al.
Publicado: (2025)
por: Basu, Debabrota, et al.
Publicado: (2025)
Investigating Youth AI Auditing
por: Solyst, Jaemarie, et al.
Publicado: (2025)
por: Solyst, Jaemarie, et al.
Publicado: (2025)
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2025)
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2025)
Auditing Stance Asymmetry in Generative Explanations
por: Han, Jiarui
Publicado: (2026)
por: Han, Jiarui
Publicado: (2026)
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
por: Basu, Debabrota, et al.
Publicado: (2025)
por: Basu, Debabrota, et al.
Publicado: (2025)
Auditing the Reliability of Multimodal Generative Search
por: Sahneh, Erfan Samieyan, et al.
Publicado: (2026)
por: Sahneh, Erfan Samieyan, et al.
Publicado: (2026)
Audit Cards: Contextualizing AI Evaluations
por: Staufer, Leon, et al.
Publicado: (2025)
por: Staufer, Leon, et al.
Publicado: (2025)
Auditing for Human Expertise
por: Alur, Rohan, et al.
Publicado: (2023)
por: Alur, Rohan, et al.
Publicado: (2023)
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
por: Abrar, Saad Mohammad, et al.
Publicado: (2024)
por: Abrar, Saad Mohammad, et al.
Publicado: (2024)
Ejemplares similares
-
Human-Centred LLM Privacy Audits: Findings and Frictions
por: Staufer, Dimitri, et al.
Publicado: (2026) -
A Systematic Review of Echo Chamber Research: Comparative Analysis of Conceptualizations, Operationalizations, and Varying Outcomes
por: Hartmann, David, et al.
Publicado: (2024) -
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
por: Hartmann, David, et al.
Publicado: (2024) -
Black-Box Access is Insufficient for Rigorous AI Audits
por: Casper, Stephen, et al.
Publicado: (2024) -
White-Box Sensitivity Auditing with Steering Vectors
por: Cyberey, Hannah, et al.
Publicado: (2026)