{"total":24,"rows":[{"id":"2305.11844","title":"AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia","created":"2023-05-19","cited_by_count":54,"area":null},{"id":"2406.08824","title":"LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions","created":"2024-06-13","cited_by_count":22,"area":null},{"id":"2407.12858","title":"Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)","created":"2024-07-10","cited_by_count":20,"area":null},{"id":"2302.12578","title":"Fairness in Language Models Beyond English: Gaps and Challenges","created":"2023-02-24","cited_by_count":16,"area":null},{"id":"2401.16092","title":"Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You","created":"2024-01-29","cited_by_count":15,"area":null},{"id":"2402.01787","title":"Harm Amplification in Text-to-Image Models","created":"2024-02-01","cited_by_count":15,"area":null},{"id":"2405.08209","title":"Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp","created":"2024-05-13","cited_by_count":15,"area":null},{"id":"2310.18877","title":"Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition","created":"2023-10-29","cited_by_count":9,"area":null},{"id":"2310.05553","title":"Regulation and NLP (RegNLP): Taming Large Language Models","created":"2023-10-09","cited_by_count":5,"area":null},{"id":"2309.08760","title":"Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2408.01966","title":"ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science","created":"2024-08-04","cited_by_count":3,"area":null},{"id":"2503.19846","title":"Attention IoU: Examining Biases in CelebA using Attention Maps","created":"2025-03-25","cited_by_count":3,"area":null},{"id":"2506.05390","title":"Understanding Gender Bias in AI-Generated Product Descriptions","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2308.15906","title":"Is the U.S. Legal System Ready for AI's Challenges to Human Values?","created":"2023-08-30","cited_by_count":2,"area":null},{"id":"2508.17750","title":"From Global to Local: Social Bias Transfer in CLIP","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2601.11651","title":"Aesthetics as Structural Harm: Algorithmic Lookism Across Text-to-Image Generation and Classification","created":"2026-01-15","cited_by_count":2,"area":null},{"id":"2308.12315","title":"Trustworthy Representation Learning Across Domains","created":"2023-08-23","cited_by_count":1,"area":null},{"id":"2312.17256","title":"From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2403.17158","title":"Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2502.11031","title":"A Critical Review of Predominant Bias in Neural Networks","created":"2025-02-16","cited_by_count":0,"area":null},{"id":"2505.17841","title":"TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2505.20512","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2603.13846","title":"Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2608.03627","title":"Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}