publications

Please note that all publications below are peer-reviewed conference papers.

2024

  1. ACM FAccT
    Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
    ACM Conference on Fairness, Accountability, and Transparency 2024
  2. ACM FAccT
    The Impact and Opportunities of Generative AI in Fact-Checking
    Wolfe, Robert, and Mitra, Tanu
    ACM Conference on Fairness, Accountability, and Transparency 2024
  3. AIES
    Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
    Artificial Intelligence, Ethics, and Society 2024
  4. AIES
    Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI
    Artificial Intelligence, Ethics, and Society 2024
  5. AIES
    The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations
    Wolfe, Robert, and Mitra, Tanu
    Artificial Intelligence, Ethics, and Society 2024
  6. AIES
    ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
    Wolfe, Robert, Hiniker, Alexis, and Howe, Bill
    Artificial Intelligence, Ethics, and Society 2024
  7. CSCW
    "Sharing, Not Showing Off": How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design
    Computer-Supported Cooperative Work 2024
  8. CVPR
    Label-Efficient Group Robustness via Out-of-Distribution Concept Curation
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
  9. ACM DIS
    Mediating Culture: Cultivating Socio-cultural Understanding of AI in Children through Participatory Design
    Dangol, Aayushi, Newman, Michele, Wolfe, Robert, Lee, Jin Ha, Kientz, Julie A, Yip, Jason, and Pitt, Caroline
    Proceedings of the 2024 ACM Designing Interactive Systems Conference 2024

2023

  1. ACM FAccT
    Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
    Wolfe, Robert, Yang, Yiwei, Howe, Bill, and Caliskan, Aylin
    ACM Conference on Fairness, Accountability, and Transparency 2023
  2. AIES
    Evaluating Biased Attitude Associations of Language Models in an Intersectional Context
    Artificial Intelligence, Ethics, and Society 2023

2022

  1. AIES
    American==White in Multimodal Language-and-Image AI
    Wolfe, Robert, and Caliskan, Aylin
    Artificial Intelligence, Ethics, and Society 2022
  2. AIES
    Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics
    Artificial Intelligence, Ethics, and Society 2022
  3. ACM FAccT
    Markedness in Visual Semantic AI
    Wolfe, Robert, and Caliskan, Aylin
    ACM Conference on Fairness, Accountability, and Transparency 2022
  4. ACM FAccT
    Evidence for Hypodescent in Visual Semantic AI
    Wolfe, Robert, Banaji, Mahzarin R., and Caliskan, Aylin
    ACM Conference on Fairness, Accountability, and Transparency 2022
  5. ACL
    Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
    Wolfe, Robert, and Caliskan, Aylin
    Association for Computational Linguistics (ACL) 2022
  6. AAAI
    VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models
    Wolfe, Robert, and Caliskan, Aylin
    Association for the Advancement of Artificial Intelligence (AAAI) 2022
  7. ICSC
    Detecting Emerging Associations and Behaviors in Regional and Diachronic Word Embeddings
    Wolfe, Robert, and Caliskan, Aylin
    IEEE International Conference on Semantic Computing (ICSC) 2022

2021

  1. EMNLP
    Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
    Wolfe, Robert, and Caliskan, Aylin
    Empirical Methods in Natural Language Processing (EMNLP) 2021