Specializations
- Natural Language Processing
- AI Ethics
- Machine Learning
Research Areas
Biography
Robert Wolfe is a Ph.D. Student at the Information School studying machine representations of semantics in language and multimodal domains.
Education
- MS, Computer Science, The George Washington University, 2021
- MA, English Literature, Georgetown University, 2014
- BA, English Literature, University of Maryland, 2012
Memberships
- Association for Computational Linguistics
- Association for Computing Machinery
Publications and Contributions
-
Journal Article, Academic JournalPrivacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media (2025)Proceedings of the ACM on Human-Computer Interaction, 9(2), pp. 1-39
-
Journal Article, Academic Journal"Sharing, Not Showing Off": How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design (2024)Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), pp. 1-32, ISBN/ISSN: 2573-0142
-
Journal Article, Academic JournalDataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI (2024)Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), pp. 1635-1647, ISBN/ISSN: 3065-8365
-
Workshop PaperExpertise Fog on the GPT Store: Deceptive Design Patterns in User-Facing Generative AI (2024)Invited participant at the Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices Workshop at the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24)
-
Conference PosterLabel-Efficient Group Robustness via Out-of-Distribution Concept Curation (2024)Conference on Computer Vision and Pattern Recognition (CVPR 2024)
-
Conference PaperLaboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings (2024)The 2024 ACM Conference on Fairness, Accountability, and Transparency, pp. 1100-1210
-
Journal Article, Academic JournalML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science (2024)Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), pp. 1608-1620, ISBN/ISSN: 3065-8365
-
Conference PaperMediating Culture: Cultivating Socio-cultural Understanding of AI in Children through Participatory Design (2024)Designing Interactive Systems Conference, pp. 1805-1822
-
Conference PaperMediating culture: Cultivating socio-cultural understanding of AI in children through participatory design (2024)Proceedings of ACM Designing Interactive Systems, pp. 1805 - 1822
-
Conference Workshop PaperMitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration (2024)Workshop on Behavioral Machine Learning at the Conference on Neural Information Processing Systems (NeurIPS 2024)
-
Journal Article, Academic JournalRepresentation Bias of Adolescents in AI: A Bilingual, Bicultural Study (2024)Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), pp. 1621-1634, ISBN/ISSN: 3065-8365
-
Conference PaperThe Impact and Opportunities of Generative AI in Fact-Checking (2024)Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024)
-
Conference PaperThe Societal Implications of Open Generative Models Through the Lens of Fact-Checking Organizations (2024)Proceedings of the AAAI Conference on AI, Ethics, and Society (AIES 2024)
-
Conference PaperContrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias (2023)Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pp. 1174–1185
-
Conference PaperEvaluating Biased Attitude Associations of Language Models in an Intersectional Context (2023)AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES)
-
Conference PosterRegularizing Model Gradients with Concepts to Improve Robustness to Spurious Correlations (2023)Fortieth International Conference on Machine Learning Workshop on Spurious Correlations, Invariance, and Stability (ICML SCIS 2023)
-
Conference PaperAmerican == White in Multimodal Language-and-Image AI (2022)AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES)
-
Conference PaperContrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
-
Conference PaperDetecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings (2022)16th IEEE International Conference on Semantic Computing (ICSC 2022)
-
Conference PaperEvidence for Hypodescent in Visual Semantic AI (2022)ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022
-
Conference PaperGender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics (2022)AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES)
-
Conference PaperMarkedness in Visual Semantic AI (2022)ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022
-
Conference PaperVAST: The Valence-Assessing Semantics Test for Contextualizing Language Models (2022)Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
-
Conference PaperLow Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models (2021)Empirical Methods in Natural Language Processing (EMNLP)
Presentations
-
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
(2022)
60th Annual Meeting of the Association for Computational Linguistics (ACL) - Dublin, Ireland