Fetching the paper…
Reading the bibliography…
Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models.
The nuremberg code
Nuremberg Code · 1949
Earlier work this paper cites.
The influence of culture on visual perception
Marshall H Segall, Donald Thomas Campbell, and Melville Jean Herskovits · 1966
Earlier work this paper cites.
The Belmont report: Ethical principles and guidelines for the protection of human subjects of research
National Commission for the Proptection of Human Subjects of Biomedicaland Behavioral Research, Bethesda, Md · 1978
Earlier work this paper cites.
The Belmont report: ethical principles and guidelines for the protection of human subjects of research , volume 1
United States. National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research · 1978
Earlier work this paper cites.
Gender: An ethnomethodological approach
Suzanne J Kessler and Wendy McKenna · 1985
Earlier work this paper cites.
Performative acts and gender constitution: An essay in phenomenology and feminist theory
Judith Butler · 1988
Earlier work this paper cites.
Do open-ended questions measure “salient” issues?
John G Geer · 1991
Earlier work this paper cites.
Category labels and social reality: Do we view social categories as natural kinds?
Myron Rothbart and Marjorie Taylor · 1992
Earlier work this paper cites.
Factors influencing the accuracy of age estimates of unfamiliar faces
Patricia A George and Graham J Hole · 1995
Earlier work this paper cites.
Respondent burden: health survey research methods
N Bradburn · 1997
Earlier work this paper cites.
Harking: Hypothesizing after the results are known
Norbert L Kerr · 1998
Earlier work this paper cites.
Interdisciplinary practice as reflexivity
Norma RA Romm · 1998
Earlier work this paper cites.
Principles and recommendations for population and housing censuses
United Nations · 1998
Earlier work this paper cites.
Sexing the body: Gender politics and the construction of sexuality
Anne Fausto-Sterling · 2000
Earlier work this paper cites.
Operationalising the collection of ethnicity data in studies of the sociology of health and illness
Peter J Aspinall · 2001
Earlier work this paper cites.
Ethical and policy issues in research involving human participants
National Bioethics Advisory Commission et al · 2001
Earlier work this paper cites.
From few to many: Illumination cone models for face recognition under variable lighting and pose
Athinodoros S. Georghiades, Peter N. Belhumeur, and David J. Kriegman · 2001
Earlier work this paper cites.
Informed consent with children: Ethical and practical implications
Julie J Henkelman and Robin D Everall · 2001
Earlier work this paper cites.
Robust face detection using the hausdorff distance
Oliver Jesorsky, Klaus J Kirchberg, and Robert W Frischholz · 2001
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
Alcohol servers’ estimates of young people’s ages
Gavin Rowe, Paul Willner · 2001
Earlier work this paper cites.
Race of the interviewer and perception of skin color: Evidence from the multi-city study of urban inequality
Mark E Hill · 2002
Earlier work this paper cites.
Racial ambiguity among the brazilian population
Edward E Telles · 2002
Earlier work this paper cites.
Empty ethics: the problem with informed consent
Oonagh Corrigan · 2003
Earlier work this paper cites.
A taxonomy of dirty data
Won Kim, Byoung-Ju Choi, Eui-Kyeong Hong, Soo-Kyung Kim, and Doheon Lee · 2003
Earlier work this paper cites.
The Right to Safety: some conceptual and practical issues
John Twigg · 2003
Earlier work this paper cites.
The use of computer vision in an intelligent environment to support aging-in-place, safety, and independence in the home
Alex Mihailidis, Brent Carmichael, and Jennifer Boger · 2004
Earlier work this paper cites.
An own-age bias in face recognition for children and older adults
Jeffrey S Anastasi and Matthew G Rhodes · 2005
Earlier work this paper cites.
Pruning training sets for learning of object categories
Anelia Angelova, Yaser Abu-Mostafam, and Pietro Perona · 2005
Earlier work this paper cites.
Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
Earlier work this paper cites.
The humanid gait challenge problem: Data sets, performance, and analysis
Sudeep Sarkar, P Jonathon Phillips, Zongyi Liu, Isidro Robledo Vega, Patrick Grother, and Kevin W Bowyer · 2005
Earlier work this paper cites.
Evidence for an own-age bias in face recognition
Jeffrey S Anastasi and Matthew G Rhodes · 2006
Earlier work this paper cites.
The multi-biometric, multi-device and multilingual (m3) corpus
Helen Meng, PC Ching, Tan Lee, Man Wai Mak, Brian Mak, Y Moon, Man-Hung Siu, Xiaoou Tang, H Hui, Andrew Lee, et al · 2006
Earlier work this paper cites.
Morph: A longitudinal image database of normal adult age-progression
Karl Ricanek and Tamirat Tesafaye · 2006
Earlier work this paper cites.
The implications of racial misclassification by observers
Mary E Campbell and Lisa Troyer · 2007
Earlier work this paper cites.
Estimating human age by manifold analysis of face pictures and regression on aging features
Yun Fu, Ye Xu, and Thomas S Huang · 2007
Earlier work this paper cites.
Image-based human age estimation by manifold learning and locally adjusted robust regression
Guodong Guo, Yun Fu, Charles R Dyer, and Thomas S Huang · 2008
Earlier work this paper cites.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
Earlier work this paper cites.
80 million tiny images: A large data set for nonparametric object and scene recognition
Antonio Torralba, Rob Fergus, and William T Freeman · 2008
Earlier work this paper cites.
Hp investigates claims of ’racist’ computers
Brian X Chen · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Barely legal: Is attraction and estimated age of young female faces disrupted by alcohol use, make up, and the sex of the observer?
Vincent Egan and Giray Cordan · 2009
Earlier work this paper cites.
Large-scale privacy protection in google street view
Andrea Frome, German Cheung, Ahmad Abdulkader, Marco Zennaro, Bo Wu, Alessandro Bissacco, Hartwig Adam, Hartmut Neven, and Luc Vincent · 2009
Earlier work this paper cites.
Understanding images of groups of people
Andrew C Gallagher and Tsuhan Chen · 2009
Earlier work this paper cites.
Attribute and simile classifiers for face verification
Neeraj Kumar, Alexander C Berg, Peter N Belhumeur, and Shree K Nayar · 2009
Earlier work this paper cites.
Open-ended questions in web surveys: Can increasing the size of answer boxes and providing extra verbal instructions improve response quality?
Jolene D Smyth, Don A Dillman, Leah Melani Christian, and Mallory McBride · 2009
Earlier work this paper cites.
Experts on age estimation
Jenny Vestlund, Linda Langeborg, Patrik Sörqvist, and Mårten Eriksson · 2009
Earlier work this paper cites.
Informational privacy, consent and the “control” of personal data
Edgar A Whitley · 2009
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
Are face-detection cameras racist?
Adam Rose · 2010
Earlier work this paper cites.
Plastic surgery: A new dimension to face recognition
Richa Singh, Mayank Vatsa, Himanshu S Bhatt, Samarth Bharadwaj, Afzel Noore, and Shahin S Nooreyezdan · 2010
Earlier work this paper cites.
“but the data is already public”: On the ethics of research in facebook
Michael Zimmer · 2010
Earlier work this paper cites.
Nist special database 32-multiple encounter dataset ii (meds-ii)
Andrew P Founds, Nick Orlans, Whiddon Genevieve, and Craig I Watson · 2011
Earlier work this paper cites.
Looking the part: Social status cues shape race perception
Jonathan B Freeman, Andrew M Penner, Aliya Saperstein, Matthias Scheutz, and Nalini Ambady · 2011
Earlier work this paper cites.
Scface–surveillance cameras face database
Mislav Grgic, Kresimir Delac, and Sonja Grgic · 2011
Earlier work this paper cites.
An other-race effect for face recognition algorithms
P Jonathon Phillips, Fang Jiang, Abhijit Narvekar, Julianne Ayyad, and Alice J O’Toole · 2011
Earlier work this paper cites.
Exploitation in payments to research subjects
Trisha Phillips · 2011
Earlier work this paper cites.
Using comparative human descriptions for soft biometrics
Daniel A Reid and Mark S Nixon · 2011
Earlier work this paper cites.
Vadana: A dense dataset for facial image analysis
Gowri Somanath, MV Rohith, and Chandra Kambhamettu · 2011
Earlier work this paper cites.
Women assimilate across gender, men don’t: The role of gender to the own-anchor effect in age, height, and weight estimates 1
Patrik Sörqvist, Linda Langeborg, and Mårten Eriksson · 2011
Earlier work this paper cites.
A framework for the ethical impact assessment of information technology
David Wright · 2011
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Race migrations: Latinos and the cultural transformation of race
Wendy Roth · 2012
Earlier work this paper cites.
Let me guess how old you are: effects of age, gender, and facial expression on perceptions of age
Manuel C Voelkle, Natalie C Ebner, Ulman Lindenberger, and Michaela Riediger · 2012
Earlier work this paper cites.
Informed consent: Issues and challenges
Lokesh P Nijhawan, Manthan D Janodia, BS Muddukrishna, Krishna Moorthi Bhat, K Laxminarayana Bairy, Nayanabhirama Udupa, Prashant B Musmade, et al · 2013
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
Earlier work this paper cites.
Cross-age reference coding for age-invariant face recognition and retrieval
Bor-Chun Chen, Chu-Song Chen, and Winston H Hsu · 2014
Earlier work this paper cites.
Friendship and natural selection
Nicholas A Christakis and James H Fowler · 2014
Earlier work this paper cites.
Big data and due process: Toward a framework to redress predictive privacy harms
Kate Crawford and Jason Schultz · 2014
Earlier work this paper cites.
How the right to privacy became a human right
Oliver Diggelmann and Maria Nicole Cleis · 2014
Earlier work this paper cites.
Age and gender estimation of unfiltered faces
Eran Eidinger, Roee Enbar, and Tal Hassner · 2014
Earlier work this paper cites.
Using informed consent to save trust
Nir Eyal · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
The influence of answer box format on response behavior on list-style open-ended questions
Florian Keusch · 2014
Earlier work this paper cites.
Understanding of informed consent by parents of children enrolled in a genetic biobank
Jennifer Klima, Sara M Fitzgerald-Butt, Kelly J Kelleher, Deena J Chisolm, R Dawn Comstock, Amy K Ferketich, and Kim L McBride · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Registered reports, 2014
Brian A Nosek and Daniël Lakens · 2014
Earlier work this paper cites.
Finding the missing link for big biomedical data
Griffin M Weber, Kenneth D Mandl, and Isaac S Kohane · 2014
Earlier work this paper cites.
Facial landmark detection by deep multi-task learning
Zhanpeng Zhang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2014
Earlier work this paper cites.
Google mistakenly tags Black people as ‘gorillas,’ showing limits of algorithms
Alistair Barr · 2015
Earlier work this paper cites.
A study on different experimental configurations for age, race, and gender estimation problems
Pierluigi Carcagnì, Marco Del Coco, Dario Cazzato, Marco Leo, and Cosimo Distante · 2015
Earlier work this paper cites.
Smiling makes you look older
Tzvi Ganel · 2015
Earlier work this paper cites.
Flickr faces complaints over ’offensive’ auto-tagging for photos
Alex Hern · 2015
Earlier work this paper cites.
The cultural work of microwork
Lilly Irani · 2015
Earlier work this paper cites.
Unequal representation and gender stereotypes in image search results for occupations
Matthew Kay, Cynthia Matuszek, and Sean A Munson · 2015
Earlier work this paper cites.
Dynamic consent: a patient interface for twenty-first century research networks
Jane Kaye, Edgar A Whitley, David Lund, Michael Morrison, Harriet Teare, and Karen Melham · 2015
Earlier work this paper cites.
Age and gender classification using convolutional neural networks
Gil Levi and Tal Hassner · 2015
Earlier work this paper cites.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
The chicago face database: A free stimulus set of faces and norming data
Debbie S Ma, Joshua Correll, and Bernd Wittenbrink · 2015
Earlier work this paper cites.
Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
Earlier work this paper cites.
Dex: Deep expectation of apparent age from a single image
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2015
Earlier work this paper cites.
Unicef procedure for ethical standards in research, evaluation, data collection and analysis
UNICEF et al · 2015
Earlier work this paper cites.
Examining the effect of smile intensity on age perceptions
Ze Wang, Xin He, and Fan Liu · 2015
Earlier work this paper cites.
Recognize complex events from static images by fusing deep channels
Yuanjun Xiong, Kai Zhu, Dahua Lin, and Xiaoou Tang · 2015
Earlier work this paper cites.
Human phenotypic diversity
P. Balaresque and T.E. King · 2016
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
Earlier work this paper cites.
The new general data protection regulation: Still a sound system for the protection of individuals?
Paul De Hert and Vagelis Papakonstantinou · 2016
Earlier work this paper cites.
Privacy, security and data protection in smart cities: A critical eu law perspective
Lilian Edwards · 2016
Earlier work this paper cites.
Shades of race: How phenotype and observer characteristics shape racial classification
Cynthia Feliciano · 2016
Earlier work this paper cites.
Questionable research practices revisited
Klaus Fiedler and Norbert Schwarz · 2016
Earlier work this paper cites.
Colored perceptions: Racially distinctive names and assessments of skin color
Denia Garcia and Maria Abascal · 2016
Earlier work this paper cites.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
Earlier work this paper cites.
Rethinking and updating demographic questions: Guidance to improve descriptions of research samples
Jennifer L Hughes, Abigail A Camden, Tenzin Yangchen, et al · 2016
Earlier work this paper cites.
The megaface benchmark: 1 million faces for recognition at scale
Ira Kemelmacher-Shlizerman, Steven M Seitz, Daniel Miller, and Evan Brossard · 2016
Earlier work this paper cites.
Defeating image obfuscation with deep learning
Richard McPherson, Reza Shokri, and Vitaly Shmatikov · 2016
Earlier work this paper cites.
Where are human subjects in big data research? the emerging ethics divide
Jacob Metcalf and Kate Crawford · 2016
Earlier work this paper cites.
The ethics of big data: current and foreseeable issues in biomedical contexts
Brent Daniel Mittelstadt and Luciano Floridi · 2016
Earlier work this paper cites.
Ordinal regression with multiple output cnn for age estimation
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, and Gang Hua · 2016
Earlier work this paper cites.
Faceless person recognition: Privacy implications in social media
Seong Joon Oh, Rodrigo Benenson, Mario Fritz, and Bernt Schiele · 2016
Earlier work this paper cites.
Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
Earlier work this paper cites.
The multiple dimensions of race
Wendy D Roth · 2016
Earlier work this paper cites.
End-to-end people detection in crowded scenes
Russell Stewart, Mykhaylo Andriluka, and Andrew Y Ng · 2016
Earlier work this paper cites.
Faces with light makeup are better recognized than faces with heavy makeup
Keiko Tagai, Hitomi Ohtaka, and Hiroshi Nittono · 2016
Earlier work this paper cites.
Face-space: A unifying concept in face recognition research
Tim Valentine, Michael B Lewis, and Peter J Hills · 2016
Earlier work this paper cites.
Unsupervised feature learning for illumination robustness
Lloyd Windrim, Arman Melkumyan, Richard Murphy, Anna Chlingaryan, and Juan Nieto · 2016
Earlier work this paper cites.
Automated inference on criminality using face images
Xiaolin Wu and Xi Zhang · 2016
Earlier work this paper cites.
Wider face: A face detection benchmark
Shuo Yang, Ping Luo, Chen-Change Loy, and Xiaoou Tang · 2016
Earlier work this paper cites.
Children and the data cycle: Rights and ethics in a big data world
Gabrielle Berman and Kerry Albright · 2017
Earlier work this paper cites.
International ethical guidelines for health-related research involving humans
Council for International Organizations of Medical Sciences and others · 2017
Earlier work this paper cites.
Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
Earlier work this paper cites.
Unconstrained face detection and open-set face recognition challenge
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, et al · 2017
Earlier work this paper cites.
Heterogeneous face attribute estimation: A deep multi-task learning approach
Hu Han, Anil K Jain, Fang Wang, Shiguang Shan, and Xilin Chen · 2017
Earlier work this paper cites.
A glimpse far into the future: Understanding long-term crowd worker quality
Kenji Hata, Ranjay Krishna, Li Fei-Fei, and Michael S Bernstein · 2017
Earlier work this paper cites.
Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems
Ayanna Howard, Cha Zhang, and Eric Horvitz · 2017
Earlier work this paper cites.
The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
Cited alongside, same era.
Expression-invariant age estimation using structured learning
Zhongyu Lou, Fares Alnajar, Jose M Alvarez, Ninghang Hu, and Theo Gevers · 2017
Cited alongside, same era.
“the study has been approved by the irb”’: Gayface ai, research hype and the pervasive data ethics gap
Jacob Metcalf · 2017
Cited alongside, same era.
Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
Cited alongside, same era.
Agedb: the first manually collected, in-the-wild age database
Stylianos Moschoglou, Athanasios Papaioannou, Christos Sagonas, Jiankang Deng, Irene Kotsia, and Stefanos Zafeiriou · 2017
Cited alongside, same era.
Causal datasheet for datasets: An evaluation guide for real-world data analysis and data collection design using bayesian networks
Bradley Butcher, Vincent S Huang, Christopher Robinson, Jeremy Reffin, Sema K Sgaier, Grace Charles, and Novi Quadrianto · 2021
Later among the works it cites.
An explication of identity shift theory
Caleb T Carr, Yeweon Kim, Jacob J Valov, Judith E Rosenbaum, Benjamin K Johnson, Jeffrey T Hancock, and Amy L Gonzales · 2021
Later among the works it cites.
Why gender pronouns are becoming a big deal at work
Te-Ping Chen · 2021
Later among the works it cites.
Understanding and mitigating annotation bias in facial expression recognition
Yunliang Chen and Jungseock Joo · 2021
Later among the works it cites.
Emergent unfairness in algorithmic fairness-accuracy trade-off research
A Feder Cooper, Ellen Abrams, and Na Na · 2021
Later among the works it cites.
Excavating ai: The politics of images in machine learning training sets
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, and D Sculley · 2017
Cited alongside, same era.
Some methodological uses of responses to open questions and other verbatim comments in quantitative surveys
Eleanor Singer and Mick P Couper · 2017
Cited alongside, same era.
Computer vision for sports: Current applications and research topics
Graham Thomas, Rikke Gade, Thomas B Moeslund, Peter Carr, and Adrian Hilton · 2017
Cited alongside, same era.
Age progression/regression by conditional adversarial autoencoder
Zhifei Zhang, Yang Song, and Hairong Qi · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Ten simple rules for responsible big data research, 2017
Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, and Frank Pasquale · 2017
Cited alongside, same era.
Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings
Mohsan Alvi, Andrew Zisserman, and Christoffer Nellåker · 2018
Cited alongside, same era.
Kate Crawford and Trevor Paglen · 2021
Later among the works it cites.
Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, and Rachel Rosen · 2021
Later among the works it cites.
Why twitter and instagram are inviting people to share their pronouns
Sonia Elks · 2021
Later among the works it cites.
Exposing. ai, 2021
Adam Harvey and Jules LaPlace · 2021
Later among the works it cites.
Towards measuring fairness in ai: the casual conversations dataset
Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, and Cristian Canton Ferrer · 2021
Later among the works it cites.
Natural language descriptions of deep visual features
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, and Jacob Andreas · 2021
Later among the works it cites.
Moving beyond “algorithmic bias is a data problem”
Sara Hooker · 2021
Later among the works it cites.
Towards accountability for machine learning datasets: Practices from software engineering and infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, and Margaret Mitchell · 2021
Later among the works it cites.
Sharing practices for datasets related to accessibility and aging
Rie Kamikubo, Utkarsh Dwivedi, and Hernisa Kacorri · 2021
Later among the works it cites.
Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Kimmo Karkkainen and Jungseock Joo · 2021
Later among the works it cites.
One label, one billion faces: Usage and consistency of racial categories in computer vision
Zaid Khan and Yun Fu · 2021
Later among the works it cites.
Reduced, reused and recycled: The life of a dataset in machine learning research
Bernard Koch, Emily Denton, Alex Hanna, and Jacob Gates Foster · 2021
Later among the works it cites.
The india face set: International and cultural boundaries impact face impressions and perceptions of category membership
Anjana Lakshmi, Bernd Wittenbrink, Joshua Correll, and Debbie S Ma · 2021
Later among the works it cites.
Who is included in human perceptions of ai?: Trust and perceived fairness around healthcare ai and cultural mistrust
Min Kyung Lee and Katherine Rich · 2021
Later among the works it cites.
Privacy-preserving portrait matting
Jizhizi Li, Sihan Ma, Jing Zhang, and Dacheng Tao · 2021
Later among the works it cites.
Chicago face database: Multiracial expansion
Debbie S Ma, Justin Kantner, and Bernd Wittenbrink · 2021
Later among the works it cites.
Blind pareto fairness and subgroup robustness
Natalia L Martinez, Martin A Bertran, Afroditi Papadaki, Miguel Rodrigues, and Guillermo Sapiro · 2021
Later among the works it cites.
On interaction between augmentations and corruptions in natural corruption robustness
Eric Mintun, Alexander Kirillov, and Saining Xie · 2021
Later among the works it cites.
The use of open-ended questions in surveys
Cornelia Neuert, Katharina Meitinger, Dorothée Behr, and Matthias Schonlau · 2021
Later among the works it cites.
Data and its (dis) contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M Bender, Emily Denton, and Alex Hanna · 2021
Later among the works it cites.
Crowdspeech and voxdiy: Benchmark datasets for crowdsourced audio transcription
Nikita Pavlichenko, Ivan Stelmakh, and Dmitry Ustalov · 2021
Later among the works it cites.
Mitigating dataset harms requires stewardship: Lessons from 1000 papers
Kenny Peng, Arunesh Mathur, and Arvind Narayanan · 2021
Later among the works it cites.
Institutionalizing ethics in ai through broader impact requirements
Carina EA Prunkl, Carolyn Ashurst, Markus Anderljung, Helena Webb, Jan Leike, and Allan Dafoe · 2021
Later among the works it cites.
About face: A survey of facial recognition evaluation
Inioluwa Deborah Raji and Genevieve Fried · 2021
Later among the works it cites.
"everyone wants to do the model work, not the data work": Data cascades in high-stakes AI
Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Diana Akrong, Praveen Paritosh, and Lora M Aroyo · 2021
Later among the works it cites.
Do datasets have politics? disciplinary values in computer vision dataset development
Morgan Klaus Scheuerman, Alex Hanna, and Emily Denton · 2021
Later among the works it cites.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki · 2021
Later among the works it cites.
A step toward more inclusive people annotations for fairness
Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, and Caroline Rebecca Pantofaru · 2021
Later among the works it cites.
Beyond fair pay: Ethical implications of nlp crowdsourcing
Boaz Shmueli, Jan Fell, Soumya Ray, and Lun-Wei Ku · 2021
Later among the works it cites.
Artsheets for art datasets
Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, and Beth Coleman · 2021
Later among the works it cites.
Image representations learned with unsupervised pre-training contain human-like biases
Ryan Steed and Aylin Caliskan · 2021
Later among the works it cites.
Open demographics documentation
Nikki Stevens · 2021
Later among the works it cites.
A framework for understanding sources of harm throughout the machine learning life cycle
Harini Suresh and John Guttag · 2021
Later among the works it cites.
Reflections on dynamic consent in biomedical research: the story so far
Harriet JA Teare, Megan Prictor, and Jane Kaye · 2021
Later among the works it cites.
Quantifying the invisible labor in crowd work
Carlos Toxtli, Siddharth Suri, and Saiph Savage · 2021
Later among the works it cites.
Standard country or area codes for statistical use
United Nations Statistics Division · 2021
Later among the works it cites.
Fair classification with group-dependent label noise
Jialu Wang, Yang Liu, and Caleb Levy · 2021
Later among the works it cites.
Ethics and governance of artificial intelligence for health: Who guidance
World Health Organization and others · 2021
Later among the works it cites.
Privacy-preserving machine learning: Methods, challenges and directions
Runhua Xu, Nathalie Baracaldo, and James Joshi · 2021
Later among the works it cites.
Understanding and evaluating racial biases in image captioning
Dora Zhao, Angelina Wang, and Olga Russakovsky · 2021
Later among the works it cites.
The hidden fingerprint inside your photos
Jerone T. A. Andrews · 2022
Later among the works it cites.
Students can adjust their pronouns and gender identity in bu’s updated data system
Rich Barlow and Cydney Scott · 2022
Later among the works it cites.
Automating ambiguity: Challenges and pitfalls of artificial intelligence
Abeba Birhane · 2022
Later among the works it cites.
Picking on the same person: Does algorithmic monoculture lead to outcome homogenization?
Rishi Bommasani, Kathleen A Creel, Ananya Kumar, Dan Jurafsky, and Percy S Liang · 2022
Later among the works it cites.
Gender shades
Joy Buolamwini · 2022
Later among the works it cites.
Fairness without demographics through knowledge distillation
Junyi Chai, Taeuk Jang, and Xiaoqian Wang · 2022
Later among the works it cites.
The past, present and future of registered reports
Christopher D Chambers and Loukia Tzavella · 2022
Later among the works it cites.
Inclusion and anti-discrimination: Ai & discrimination
Council of Europe · 2022
Later among the works it cites.
Artificial intelligence with very real biases
Kate Crawford · 2022
Later among the works it cites.
Evaluating and mitigating bias in image classifiers: A causal perspective using counterfactuals
Saloni Dash, Vineeth N Balasubramanian, and Amit Sharma · 2022
Later among the works it cites.
https://www.dataprotection.ie/en/dpc-guidance/anonymisation-and-pseudonymisation , June 2019
Data Protection Commission · 2022
Later among the works it cites.
What people think ai should infer from faces
Severin Engelmann, Chiara Ullstein, Orestis Papakyriakopoulos, and Jens Grossklags · 2022
Later among the works it cites.
General data protection regulation
European Commission · 2022
Later among the works it cites.
The workiung party on the protection of individuals with regard to the processing of personal data
European Data Protection Board (Article 29 Working Party) · 2022
Later among the works it cites.
How an attempt at correcting bias in tech goes wrong
Sidney Fussell · 2022
Later among the works it cites.
Jury learning: Integrating dissenting voices into machine learning models
Mitchell L Gordon, Michelle S Lam, Joon Sung Park, Kayur Patel, Jeff Hancock, Tatsunori Hashimoto, and Michael S Bernstein · 2022
Later among the works it cites.
Vision models are more robust and fair when pretrained on uncurated images without supervision
Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, and Piotr Bojanowski · 2022
Later among the works it cites.
Ego4d: Around the world in 3,000 hours of egocentric video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, et al · 2022
Later among the works it cites.
Casual conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness, 2022
Caner Hazirbas, Yejin Bang, Tiezheng Yu, Parisa Assar, Bilal Porgali, Vítor Albiero, Stefan Hermanek, Jacqueline Pan, Emily McReynolds, Miranda Bogen, Pascale Fung, and Cristian Canton Ferrer · 2022
Later among the works it cites.
Quantifying societal bias amplification in image captioning
Yusuke Hirota, Yuta Nakashima, and Noa Garcia · 2022
Later among the works it cites.
Social inclusion in curated contexts: Insights from museum practices
Han-Yin Huang and Cynthia CS Liem · 2022
Later among the works it cites.
Robots enact malignant stereotypes
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, and Matthew Gombolay · 2022
Later among the works it cites.
Biometric information privacy act
Illinois Legislature · 2022
Later among the works it cites.
What are your pronouns? examining gender pronoun usage on twitter
Julie Jiang, Emily Chen, Luca Luceri, Goran Murić, Francesco Pierri, Ho-Chun Herbert Chang, and Emilio Ferrara · 2022
Later among the works it cites.
A framework for deprecating datasets: Standardizing documentation, identification, and communication
Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, and Kate Crawford · 2022
Later among the works it cites.
Ten years of dynamic consent in the chris study: informed consent as a dynamic process
Deborah Mascalzoni, Roberto Melotti, Cristian Pattaro, Peter Paul Pramstaller, Martin Gögele, Alessandro De Grandi, and Roberta Biasiotto · 2022
Later among the works it cites.
The nation where your ‘faceprint’ is already being tracked
Jessica Mudditt · 2022
Later among the works it cites.
Gender pronouns & their use in workplace communications
National Institutes of Health – Division of Program Coordination, Planning and Strategic Initiatives · 2022
Later among the works it cites.
Personal information protection law
National People’s Congress · 2022
Later among the works it cites.
How old was she? the accuracy of assessing the age of adolescents’ based on photos
Roosa Norja, Linda Karlsson, Jan Antfolk, Thomas Nyman, and Julia Korkman · 2022
Later among the works it cites.
Fairface: A novel face attribute dataset for bias measurement and mitigation
OpenReview · 2022
Later among the works it cites.
Inside facebook’s african sweatshop
Billy Perrigo · 2022
Later among the works it cites.
Data cards: Purposeful and transparent dataset documentation for responsible ai
Mahima Pushkarna, Andrew Zaldivar, and Oddur Kjartansson · 2022
Later among the works it cites.
The dollar street dataset: Images representing the geographic and socioeconomic diversity of the world
William A Gaviria Rojas, Sudnya Diamos, Keertan Ranjan Kini, David Kanter, Vijay Janapa Reddi, and Cody Coleman · 2022
Later among the works it cites.
Healthsheet: development of a transparency artifact for health datasets
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, and Katherine Heller · 2022
Later among the works it cites.
The ethical anatomy of payment for research participants
Joanna Różyńska · 2022
Later among the works it cites.
Hci guidelines for gender equity and inclusivity
Morgan Klaus Scheuerman, Katta Spiel, Oliver L Haimson, Foad Hamidi, and Stacy M Branham · 2022
Later among the works it cites.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
An examination of bias of facial analysis based bmi prediction models
Hera Siddiqui, Ajita Rattani, Karl Ricanek, and Twyla Hill · 2022
Later among the works it cites.
Advancing ethics review practices in ai research
Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R Jordan, Joseph Lindley, Aviv Ovadya, et al · 2022
Later among the works it cites.
Official response from wiley
Tech Inquiry · 2022
Later among the works it cites.
What do we need to do to ensure lawfulness, fairness, and transparency in ai systems?
UK Information Commissioner’s Office · 2022
Later among the works it cites.
Bridging the digital divide for children and adolescents in east asia and pacific
UNICEF · 2022
Later among the works it cites.
How disability data are collected from the american community survey
United States Census Bureau · 2022
Later among the works it cites.
Getty images is suing the creators of ai art tool stable diffusion for scraping its content
James Vincent · 2022
Later among the works it cites.
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
Later among the works it cites.
Characteristics of publicly available skin cancer image datasets: a systematic review
David Wen, Saad M Khan, Antonio Ji Xu, Hussein Ibrahim, Luke Smith, Jose Caballero, Luis Zepeda, Carlos de Blas Perez, Alastair K Denniston, Xiaoxuan Liu, et al · 2022
Later among the works it cites.
The digital revolution is leaving poorer kids behind
World Economic Forum · 2022
Later among the works it cites.
Ageism in artificial intelligence for health
World Health Organization · 2022
Later among the works it cites.
Being ‘seen’ vs. ‘mis-seen’: Tensions between privacy and fairness in computer vision
Alice Xiang · 2022
Later among the works it cites.
Physiognomy’s new clothes
Blaise Agüera y Arcas, Margaret Mitchell, and Alexander Todorov · 2022
Later among the works it cites.
Regulating facial processing technologies: Tensions between legal and technical considerations in the application of illinois bipa
Rui-Jie Yew and Alice Xiang · 2022
Later among the works it cites.
Measuring hidden bias within face recognition via racial phenotypes
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, and Toby P Breckon · 2022
Later among the works it cites.
https://blog.neurips.cc/2023/04/20/announcing-the-neurips-code-of-ethics/
Announcing the NeurIPS Code of Ethics · 2023
Closest in time.
https://www.vice.com/en/article/wxjxgx/openai-and-microsoft-sued-for-dollar3-billion-over-alleged-chatgpt-privacy-violations
OpenAI and Microsoft Sued for $3 Billion Over Alleged ChatGPT ’Privacy Violations’ — vice.com · 2023
Closest in time.
A view from somewhere: Human-centric face representations
Jerone T A Andrews, Przemyslaw Joniak, and Alice Xiang · 2023
Closest in time.
Teanna Barrett, Quan Ze Chen, and Amy X Zhang · 2023
Closest in time.
Representation in ai evaluations
A Stevie Bergman, Lisa Anne Hendricks, Maribeth Rauh, Boxi Wu, William Agnew, Markus Kunesch, Isabella Duan, Iason Gabriel, and William Isaac · 2023
Closest in time.
Making intelligence: Ethical values in iq and ml benchmarks
Borhane Blili-Hamelin and Leif Hancox-Li · 2023
Closest in time.
Ethics guidelines for trustworthy ai: Building trust in human-centric ai
European Union High-level Expert Group · 2023
Closest in time.
Datacomp: In search of the next generation of multimodal datasets
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, et al · 2023
Closest in time.
Google pair. people + ai guidebook
Google PAIR · 2023
Closest in time.
Lines of sight
Alex Hanna, Emily Denton, Razvan Amironesei, Andrew Smart, and Hilary Nicole · 2023
Closest in time.
Design for ai
IBM · 2023
Closest in time.
A hunt for the snark: Annotator diversity in data practices
Shivani Kapania, Alex S Taylor, and Ding Wang · 2023
Closest in time.
Of oaths and checklists
Mike Loukides, Hilary Mason, and D Patil · 2023
Closest in time.
We actually used 256 a100s for this per the model card, 150k hours in total so at market price $600k
Emad Mostaque (Stability AI) · 2023
Closest in time.
Payment of participation in research: information for researchers, hrecs and other ethics review bodies
National Health and Medical Research Council · 2023
Closest in time.
Augmented datasheets for speech datasets and ethical decision-making
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Andrews, Rebecca Bourke, Alice Xiang, and Allison Koenecke · 2023
Closest in time.
The casual conversations v2 dataset
Bilal Porgali, Vítor Albiero, Jordan Ryda, Cristian Canton Ferrer, and Caner Hazirbas · 2023
Closest in time.
Geode: a geographically diverse evaluation dataset for object recognition
Vikram V Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B Adcock, Laurens van der Maaten, Deepti Ghadiyaram, and Olga Russakovsky · 2023
Closest in time.
Ethical considerations on artificial intelligence in dentistry: A framework and checklist
Rata Rokhshad, Maxime Ducret, Akhilanand Chaurasia, Teodora Karteva, Miroslav Radenkovic, Jelena Roganovic, Manal Hamdan, Hossein Mohammad-Rahimi, Joachim Krois, Pierre Lahoud, et al · 2023
Closest in time.
Beyond skin tone: A multidimensional measure of apparent skin color
William Thong, Przemyslaw Joniak, and Alice Xiang · 2023
Closest in time.
How should we obtain, record and manage consent?
UK Information Commissioner’s Office · 2023
Closest in time.
‘an engine for the imagination’: the rise of ai image generators. an interview with midjourney founder david holz
James Vincent · 2023
Closest in time.
Ai art tools stable diffusion and midjourney targeted with copyright lawsuit
James Vincent · 2023
Closest in time.
Men also do laundry: Multi-attribute bias amplification
Dora Zhao, Jerone T. A. Andrews, and Alice Xiang · 2023
Closest in time.
Algorithmic fairness datasets: the story so far
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, and Gian Antonio Susto · 2074
Closest in time.