Buchumschlag

Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wolfe, Robert, Dangol, Aayushi, Hiniker, Alexis, Howe, Bill
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Computers and Society Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
von: Wolfe, Robert, et al.
Veröffentlicht: (2024)

ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
von: Wolfe, Robert, et al.
Veröffentlicht: (2024)

A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
von: Sathe, Ashutosh, et al.
Veröffentlicht: (2024)

Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy
von: Wolfe, Robert, et al.
Veröffentlicht: (2026)

Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images
von: Fraser, Kathleen C., et al.
Veröffentlicht: (2024)

Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)
von: Han, Bin, et al.
Veröffentlicht: (2024)

Challenges and Opportunities for Participatory Design of Conversational Agents for Young People's Wellbeing
von: Kucirkova, Natalia, et al.
Veröffentlicht: (2025)

Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
von: Wolfe, Robert, et al.
Veröffentlicht: (2025)

Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition
von: Dominguez-Catena, Iris, et al.
Veröffentlicht: (2023)

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
von: Hirota, Yusuke, et al.
Veröffentlicht: (2025)

Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?
von: Nazi, Zabir Al, et al.
Veröffentlicht: (2025)

FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes
von: Chen, Liuliu, et al.
Veröffentlicht: (2026)

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
von: Li, Lei, et al.
Veröffentlicht: (2024)

The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors
von: Lucy, Li, et al.
Veröffentlicht: (2026)

Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
von: Kamath, Amita, et al.
Veröffentlicht: (2026)

A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
von: Ibrahim, Hazem, et al.
Veröffentlicht: (2024)

Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective
von: Tran, Sarah, et al.
Veröffentlicht: (2025)

ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation
von: Frieske, Rita, et al.
Veröffentlicht: (2024)

Identifying Implicit Social Biases in Vision-Language Models
von: Hamidieh, Kimia, et al.
Veröffentlicht: (2024)

Vision-Language Models under Cultural and Inclusive Considerations
von: Karamolegkou, Antonia, et al.
Veröffentlicht: (2024)

Investigating Spatial Attention Bias in Vision-Language Models
von: Chaudhary, Aryan, et al.
Veröffentlicht: (2025)

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
von: Jha, Akshita, et al.
Veröffentlicht: (2024)

Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
von: Zhao, Yuming, et al.
Veröffentlicht: (2026)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
von: Madasu, Avinash, et al.
Veröffentlicht: (2025)

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
von: Xia, Peng, et al.
Veröffentlicht: (2024)

Using LLMs as prompt modifier to avoid biases in AI image generators
von: Peinl, René
Veröffentlicht: (2025)

debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias
von: Sasse, Kuleen, et al.
Veröffentlicht: (2024)

Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models
von: Zhu, Yingjie, et al.
Veröffentlicht: (2025)

Stable Signer: Hierarchical Sign Language Generative Model
von: Fang, Sen, et al.
Veröffentlicht: (2025)

Closing the Gap: Data-Centric Fine-Tuning of Vision Language Models for the Standardized Exam Questions
von: Sert, Egemen, et al.
Veröffentlicht: (2025)

MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms
von: Jin, Yiqiao, et al.
Veröffentlicht: (2024)

Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories
von: Peterka, Tomas, et al.
Veröffentlicht: (2025)

WAON: A Large-Scale Japanese Image-Text Dataset for Cultural Adaptation in Contrastive Vision-Language Models
von: Sugiura, Issa, et al.
Veröffentlicht: (2025)

The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications
von: Ashqar, Huthaifa I., et al.
Veröffentlicht: (2024)

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
von: Li, Ang, et al.
Veröffentlicht: (2025)

Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating Bias in Publicly Available Datasets
von: Tahir, Ghalib Ahmed
Veröffentlicht: (2024)

Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
von: Girrbach, Leander, et al.
Veröffentlicht: (2025)

VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
von: Huang, Jen-tse, et al.
Veröffentlicht: (2025)

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation
von: Wang, Xintong, et al.
Veröffentlicht: (2025)

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
von: Jaiswal, Siddharth D, et al.
Veröffentlicht: (2024)