Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

8 December 2021

Papers citing "Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation"

8 / 8 papers shown

Title
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives Vinodkumar Prabhakaran Christopher Homan Lora Aroyo Aida Mostafazadeh Davani Alicia Parrish Alex S. Taylor Mark Díaz Ding Wang Greg Serapio-García 45 9 0 09 Nov 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI H. D. Zając Natalia-Rozalia Avlona T. O. Andersen F. Kensing Irina Shklovski 27 17 0 12 Aug 2023
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia Rida Qadri Renee Shelby Cynthia L. Bennett Emily Denton 31 67 0 19 May 2023
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 42 22 0 23 Nov 2022
Cultural Re-contextualization of Fairness Research in Language Technologies in India Shaily Bhatt Sunipa Dev Partha P. Talukdar Shachi Dave Vinodkumar Prabhakaran 40 3 0 21 Nov 2022
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation Barbara Plank 32 97 0 04 Nov 2022
Labeling instructions matter in biomedical image analysis Tim Radsch Annika Reinke V. Weru M. Tizabi Nicholas Schreck A. Emre Kavur Bunyamin Pekdemir T. Ross A. Kopp-Schneider Lena Maier-Hein 25 53 0 20 Jul 2022
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing Boaz Shmueli Jan Fell Soumya Ray Lun-Wei Ku 118 86 0 20 Apr 2021