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Understanding different human attributes and how they affect model behavior may become a standard need for all model creation and usage, from traditional computer vision tasks to the newest multimodal generative AI systems.
Some experimental results in the correlation of mental abilities 1
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Correlation calculated from faulty data
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Black women and the politics of skin color and hair
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Phenotype and schooling among mexican americans
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Perspectives on racial phenotypicality bias
Keith B Maddox · 2004
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Annual income, hourly wages, and identity among mexican-americans and other latinos
Patrick L Mason · 2004
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Sun sensitivity in 5 us ethnoracial groups
Gabriel R Galindo, Joni A Mayer, Donald Slymen, Delshad D Almaguer, Elizabeth Clapp, Latrice C Pichon, Katherine Hoerster, and John P Elder · 2007
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From dark to light: Skin color and wages among african-americans
Arthur H Goldsmith, Darrick Hamilton, and William Darity · 2007
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Multivariate analysis of variance (manova), 2008
Aaron French, Marcelo Macedo, John Poulsen, Tyler Waterson, and Angela Yu · 2008
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Exploiting ‘subjective’annotations
Dennis Reidsma and Rieks op den Akker · 2008
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Political partisanship influences perception of biracial candidates’ skin tone
Eugene M Caruso, Nicole L Mead, and Emily Balcetis · 2009
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Variations in skin colour and the biological consequences of ultraviolet radiation exposure
Sandra Del Bino and FJBJoD Bernerd · 2013
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Accuracy of self-report in assessing fitzpatrick skin phototypes i through vi
Steven Eilers, Daniel Q Bach, Rikki Gaber, Hanz Blatt, Yanina Guevara, Katie Nitsche, Roopal V Kundu, and June K Robinson · 2013
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Self-reported pigmentary phenotypes and race are significant but incomplete predictors of fitzpatrick skin phototype in an ethnically diverse population
Steven Y He, Charles E McCulloch, W John Boscardin, Mary-Margaret Chren, Eleni Linos, and Sarah T Arron · 2014
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Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a
Brendan F Klare, Ben Klein, Emma Taborsky, Austin Blanton, Jordan Cheney, Kristen Allen, Patrick Grother, Alan Mah, and Anil K Jain · 2015
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The cost of color: Skin color, discrimination, and health among african-americans
Ellis P Monk Jr · 2015
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Regulation (EU) 2016/679 of the European Parliament and of the Council, 2016
European Parliament and Council of the European Union · 2016
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Colored perceptions: Racially distinctive names and assessments of skin color
Denia Garcia and Maria Abascal · 2016
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The consequences of “race and color” in brazil
Ellis P Monk Jr · 2016
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Colorism and educational outcomes of asian americans: evidence from the national longitudinal study of adolescent health
Igor Ryabov · 2016
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Human skin detection using rgb, hsv and ycbcr color models
Seema Kolkur, Dhananjay Kalbande, P Shimpi, C Bapat, and Janvi Jatakia · 2017
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang · 2017
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
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The frontiers of fairness in machine learning
Alexandra Chouldechova and Aaron Roth · 2018
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Demographics and dynamics of mechanical turk workers
Djellel Difallah, Elena Filatova, and Panos Ipeirotis · 2018
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Every rating matters: Joint learning of subjective labels and individual annotators for speech emotion classification
Huang-Cheng Chou and Chi-Chun Lee · 2019
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Chris Dulhanty and Alexander Wong · 2019
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Enforcing group fairness in algorithmic decision making: Utility maximization under sufficiency
Joachim Baumann, Anikó Hannák, and Christoph Heitz · 2022
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A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, and Max Bain · 2022
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Setting the tone: An investigation of skin color bias in asia
Jacqueline M Chen and Andrew Francis-Tan · 2022
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Pali: A jointly-scaled multilingual language-image model, 2022
Xi Chen, Xiao Wang, Soravit Changpinyo, AJ Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, and Radu Soricut · 2022
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Skin typing: Fitzpatrick grading and others
Vishal Gupta and Vinod Kumar Sharma · 2019
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Estimating skin tone and effects on classification performance in dermatology datasets
Newton M Kinyanjui, Timothy Odonga, Celia Cintas, Noel CF Codella, Rameswar Panda, Prasanna Sattigeri, and Kush R Varshney · 2019
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Transfer of machine learning fairness across domains
Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, and Ed H Chi · 2019
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Are the fitzpatrick skin phototypes valid for cancer risk assessment in a racially and ethnically diverse sample of women?
Marilyn S Sommers, Jamison D Fargo, Yadira Regueira, Kathleen M Brown, Barbara L Beacham, Angela R Perfetti, Janine S Everett, and David J Margolis · 2019
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Implicit diversity in image summarization
L Elisa Celis and Vijay Keswani · 2020
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The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020
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Absence of images of skin of colour in publications of covid-19 skin manifestations
JC Lester, JL Jia, L Zhang, GA Okoye, and E Linos · 2020
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Jaemin Cho, Abhay Zala, and Mohit Bansal · 2022
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Understanding colourism in the uk: development and assessment of the everyday colourism scale
Nadia Craddock, Aisha Phoenix, Paul White, Caterina Gentili, Phillippa C Diedrichs, and Fiona Barlow · 2022
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Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Aida Mostafazadeh Davani, Mark Díaz, and Vinodkumar Prabhakaran · 2022
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Crowdworksheets: Accounting for individual and collective identities underlying crowdsourced dataset annotation
Mark Díaz, Ian Kivlichan, Rachel Rosen, Dylan Baker, Razvan Amironesei, Vinodkumar Prabhakaran, and Emily Denton · 2022
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Towards racially unbiased skin tone estimation via scene disambiguation
Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J Black, and Victoria Abrevaya · 2022
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Is your toxicity my toxicity? exploring the impact of rater identity on toxicity annotation
Nitesh Goyal, Ian D. Kivlichan, Rachel Rosen, and Lucy Vasserman · 2022
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Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, and Arash Koochek · 2022
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Modeling subjective affect annotations with multi-task learning
Hassan Hayat, Carles Ventura, and Agata Lapedriza · 2022
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Analysis of manual and automated skin tone assignments
KS Krishnapriya, Gabriella Pangelinan, Michael C King, and Kevin W Bowyer · 2022
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Towards measuring fairness in speech recognition: casual conversations dataset transcriptions
Chunxi Liu, Michael Picheny, Leda Sarı, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, and Yatharth Saraf · 2022
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Skin tone and mexicans’ perceptions of discrimination in new immigrant destinations
Helen B Marrow, Dina G Okamoto, Melissa J García, Muna Adem, and Linda R Tropp · 2022
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Gender artifacts in visual datasets
Nicole Meister, Dora Zhao, Angelina Wang, Vikram V Ramaswamy, Ruth Fong, and Olga Russakovsky · 2022
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Monk skin tone scale, 2022
Ellis Monk · 2022
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Achieving fairness via post-processing in web-scale recommender systems
Preetam Nandy, Cyrus Diciccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, and Noureddine El Karoui · 2022
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Data cards: Purposeful and transparent dataset documentation for responsible ai
Mahima Pushkarna, Andrew Zaldivar, and Oddur Kjartansson · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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Revise: A tool for measuring and mitigating bias in visual datasets
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, and Olga Russakovsky · 2022
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k-rater reliability: The correct unit of reliability for aggregated human annotations
Ka Wong and Praveen Paritosh · 2022
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Enhancing fairness in face detection in computer vision systems by demographic bias mitigation
Yu Yang, Aayush Gupta, Jianwei Feng, Prateek Singhal, Vivek Yadav, Yue Wu, Pradeep Natarajan, Varsha Hedau, and Jungseock Joo · 2022
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A view from somewhere: Human-centric face representations
Jerone TA Andrews, Przemyslaw Joniak, and Alice Xiang · 2023
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The reasonable effectiveness of diverse evaluation data
Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex Taylor, and Ding Wang · 2023
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Red-teaming large language models to identify novel ai risks, Aug 2023b
The White House · 2023
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Meps ready to negotiate first-ever rules for safe and transparent ai, Jun 2023
European Parliament · 2023
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The casual conversations v2 dataset, 2023
Bilal Porgali, Vítor Albiero, Jordan Ryda, Cristian Canton Ferrer, and Caner Hazirbas · 2023
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