{"total":25,"rows":[{"id":"2210.02410","title":"The Vendi Score: A Diversity Evaluation Metric for Machine Learning","created":"2022-10-05","cited_by_count":311,"area":null},{"id":"2104.06001","title":"Gender Bias in Machine Translation","created":"2021-04-13","cited_by_count":117,"area":null},{"id":"2404.01030","title":"Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation","created":"2024-04-01","cited_by_count":66,"area":null},{"id":"2212.10785","title":"SERENGETI: Massively Multilingual Language Models for Africa","created":"2022-12-21","cited_by_count":40,"area":null},{"id":"2210.05815","title":"Underspecification in Scene Description-to-Depiction Tasks","created":"2022-10-11","cited_by_count":30,"area":null},{"id":"2302.07159","title":"A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?","created":"2023-02-14","cited_by_count":25,"area":null},{"id":"2203.11764","title":"Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments","created":"2022-03-22","cited_by_count":22,"area":null},{"id":"2305.09073","title":"Consensus and Subjectivity of Skin Tone Annotation for ML Fairness","created":"2023-05-16","cited_by_count":22,"area":null},{"id":"2201.09486","title":"Bias in Automated Speaker Recognition","created":"2022-01-24","cited_by_count":20,"area":null},{"id":"2212.05129","title":"Measuring Data","created":"2022-12-09","cited_by_count":18,"area":null},{"id":"2110.09839","title":"Measuring Hidden Bias within Face Recognition via Racial Phenotypes","created":"2021-10-19","cited_by_count":16,"area":null},{"id":"2207.11569","title":"Robots Enact Malignant Stereotypes","created":"2022-07-23","cited_by_count":14,"area":null},{"id":"2204.13568","title":"Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms","created":"2022-04-28","cited_by_count":10,"area":null},{"id":"2305.00817","title":"Racial Bias within Face Recognition: A Survey","created":"2023-05-01","cited_by_count":9,"area":null},{"id":"2201.07677","title":"Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows","created":"2022-01-19","cited_by_count":8,"area":null},{"id":"2209.13520","title":"RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations","created":"2022-09-17","cited_by_count":7,"area":null},{"id":"2108.11056","title":"Social Norm Bias: Residual Harms of Fairness-Aware Algorithms","created":"2021-08-25","cited_by_count":6,"area":null},{"id":"2207.08037","title":"Data Representativeness in Accessibility Datasets: A Meta-Analysis","created":"2022-07-16","cited_by_count":6,"area":null},{"id":"2111.03687","title":"AI and Blackness: Towards moving beyond bias and representation","created":"2021-11-05","cited_by_count":4,"area":null},{"id":"2307.10600","title":"Challenges and Solutions in AI for All","created":"2023-07-20","cited_by_count":3,"area":null},{"id":"2110.15728","title":"Deep Learning for Bias Detection: From Inception to Deployment","created":"2021-10-12","cited_by_count":2,"area":null},{"id":"2301.10319","title":"Designing Data: Proactive Data Collection and Iteration for Machine Learning","created":"2023-01-24","cited_by_count":2,"area":null},{"id":"2402.08242","title":"Towards Equitable Agile Research and Development of AI and Robotics","created":"2024-02-13","cited_by_count":2,"area":null},{"id":"2410.05668","title":"Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2410.14201","title":"Text-to-Image Representativity Fairness Evaluation Framework","created":"2024-10-18","cited_by_count":0,"area":null}],"next_cursor":null}