Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes
Fuente:
arXiv
Saved in:
| Main Authors: | Imana, Basileal, Korolova, Aleksandra, Heidemann, John |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Auditing for Racial Discrimination in the Delivery of Education Ads
by: Imana, Basileal, et al.
Published: (2024)
by: Imana, Basileal, et al.
Published: (2024)
External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
by: Imana, Basileal, et al.
Published: (2025)
by: Imana, Basileal, et al.
Published: (2025)
Adultification Bias in LLMs and Text-to-Image Models
by: Castleman, Jane, et al.
Published: (2025)
by: Castleman, Jane, et al.
Published: (2025)
Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems
by: Castleman, Jane, et al.
Published: (2024)
by: Castleman, Jane, et al.
Published: (2024)
On the Use of Proxies in Political Ad Targeting
by: Sapiezynski, Piotr, et al.
Published: (2024)
by: Sapiezynski, Piotr, et al.
Published: (2024)
ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
by: Shen, Zeyu, et al.
Published: (2025)
by: Shen, Zeyu, et al.
Published: (2025)
Into the Unknown: Accounting for Missing Demographic Data when Mitigating Ad Delivery Skew
by: Corpus, Isabel, et al.
Published: (2026)
by: Corpus, Isabel, et al.
Published: (2026)
Measuring Validity in LLM-based Resume Screening
by: Castleman, Jane, et al.
Published: (2026)
by: Castleman, Jane, et al.
Published: (2026)
Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
by: Islam, Tunazzina
Published: (2026)
by: Islam, Tunazzina
Published: (2026)
An External Fairness Evaluation of LinkedIn Talent Search
by: Behzad, Tina, et al.
Published: (2025)
by: Behzad, Tina, et al.
Published: (2025)
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics
by: Olulana, Oluseun, et al.
Published: (2024)
by: Olulana, Oluseun, et al.
Published: (2024)
Hidden Signals in Language: Inferring Sensitive Attributes from Reddit Comments Using Machine Learning
by: Agarwalla, Anay, et al.
Published: (2026)
by: Agarwalla, Anay, et al.
Published: (2026)
Demographic Benchmarking: Bridging Socio-Technical Gaps in Bias Detection
by: Clavell, Gemma Galdon, et al.
Published: (2025)
by: Clavell, Gemma Galdon, et al.
Published: (2025)
Auditing LLM Editorial Bias in News Media Exposure
by: Minici, Marco, et al.
Published: (2025)
by: Minici, Marco, et al.
Published: (2025)
Global AI Bias Audit for Technical Governance
by: Hung, Jason
Published: (2026)
by: Hung, Jason
Published: (2026)
Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models
by: Mandal, Abhishek, et al.
Published: (2024)
by: Mandal, Abhishek, et al.
Published: (2024)
Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias
by: Tonneau, Manuel, et al.
Published: (2026)
by: Tonneau, Manuel, et al.
Published: (2026)
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
by: Holstege, Floris, et al.
Published: (2025)
by: Holstege, Floris, et al.
Published: (2025)
Addressing Discretization-Induced Bias in Demographic Prediction
by: Dong, Evan, et al.
Published: (2024)
by: Dong, Evan, et al.
Published: (2024)
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
by: Iskander, Shadi, et al.
Published: (2024)
by: Iskander, Shadi, et al.
Published: (2024)
Beyond Distributive Justice: Hermeneutical Fairness in Ad Delivery
by: Quaresmini, Camilla, et al.
Published: (2026)
by: Quaresmini, Camilla, et al.
Published: (2026)
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups
by: Giannopoulos, Giorgos, et al.
Published: (2024)
by: Giannopoulos, Giorgos, et al.
Published: (2024)
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition
by: Dominguez-Catena, Iris, et al.
Published: (2023)
by: Dominguez-Catena, Iris, et al.
Published: (2023)
Encoding Inequity: Examining Demographic Bias in LLM-Driven Robot Caregiving
by: Korpan, Raj
Published: (2025)
by: Korpan, Raj
Published: (2025)
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
by: Yuan, Chih-Cheng Rex, et al.
Published: (2024)
by: Yuan, Chih-Cheng Rex, et al.
Published: (2024)
Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models
by: Dutta, Arka, et al.
Published: (2023)
by: Dutta, Arka, et al.
Published: (2023)
Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
by: Majumdar, Ayan, et al.
Published: (2025)
by: Majumdar, Ayan, et al.
Published: (2025)
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
by: Salinas, Abel, et al.
Published: (2023)
by: Salinas, Abel, et al.
Published: (2023)
Locating Demographic Bias at the Attention-Head Level in CLIP's Vision Encoder
by: Yasser, Alaa, et al.
Published: (2026)
by: Yasser, Alaa, et al.
Published: (2026)
Sometimes the Model doth Preach: Quantifying Religious Bias in Open LLMs through Demographic Analysis in Asian Nations
by: Shankar, Hari, et al.
Published: (2025)
by: Shankar, Hari, et al.
Published: (2025)
Invisible in Search? Auditing Aesthetic Bias in the Visual Representation of Holocaust Victims on Google
by: Makhortykh, Mykola, et al.
Published: (2025)
by: Makhortykh, Mykola, et al.
Published: (2025)
Small Changes, Big Impact: Demographic Bias in LLM-Based Hiring Through Subtle Sociocultural Markers in Anonymised Resumes
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2026)
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2026)
Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education
by: Gupta, Amogh, et al.
Published: (2026)
by: Gupta, Amogh, et al.
Published: (2026)
AuditMAI: Towards An Infrastructure for Continuous AI Auditing
by: Waltersdorfer, Laura, et al.
Published: (2024)
by: Waltersdorfer, Laura, et al.
Published: (2024)
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)
by: Ramachandran, Sreeraj, et al.
Published: (2024)
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
by: Gao, Yicheng, et al.
Published: (2024)
by: Gao, Yicheng, et al.
Published: (2024)
Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias
by: Sakhawat, Adib, et al.
Published: (2026)
by: Sakhawat, Adib, et al.
Published: (2026)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)
by: Jenny, David F., et al.
Published: (2023)
What's in a Name? Auditing Large Language Models for Race and Gender Bias
by: Salinas, Alejandro, et al.
Published: (2024)
by: Salinas, Alejandro, et al.
Published: (2024)
From Bias to Accountability: How the EU AI Act Confronts Challenges in European GeoAI Auditing
by: Matuszczyk, Natalia, et al.
Published: (2025)
by: Matuszczyk, Natalia, et al.
Published: (2025)
Similar Items
-
Auditing for Racial Discrimination in the Delivery of Education Ads
by: Imana, Basileal, et al.
Published: (2024) -
External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
by: Imana, Basileal, et al.
Published: (2025) -
Adultification Bias in LLMs and Text-to-Image Models
by: Castleman, Jane, et al.
Published: (2025) -
Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems
by: Castleman, Jane, et al.
Published: (2024) -
On the Use of Proxies in Political Ad Targeting
by: Sapiezynski, Piotr, et al.
Published: (2024)