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Stereotypes, bias, and discrimination have been extensively documented in Machine Learning (ML) methods such as Computer Vision (CV) [18, 80], Natural Language Processing (NLP) [6], or both, in the case of large image and caption models such as OpenAI CLIP [14].
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle
Harini Suresh and John V. Guttag. 2019 · 1901
Earlier work this paper cites.
Predictive Inequity in Object Detection
Benjamin Wilson, Judy Hoffman, and Jamie Morgenstern. 2019 · 1902
Earlier work this paper cites.
Street Map of The Baltimore Area - Residential Security Map
Division of Research Federal Home Owners’ Loan Corporation (HOLC) and Statistics. 1937 · 1937
Earlier work this paper cites.
Multiple comparisons among means
Olive Jean Dunn. 1961 · 1961
Earlier work this paper cites.
An analysis of variance test for normality (complete samples)
Samuel Sanford Shapiro and Martin B Wilk. 1965 · 1965
Earlier work this paper cites.
The Contribution of Latent Human Failures to the Breakdown of Complex Systems
J Reason. 1990 · 1990
Earlier work this paper cites.
Nothing about us without us : disability oppression and empowerment
James I. Charlton. 1998 · 1998
Earlier work this paper cites.
Heart of Europe : the past in Poland’s present
Norman Davies. 2001 · 2001
Earlier work this paper cites.
Towards Decolonising Computational Sciences
Abeba Birhane and Olivia Guest. 2020 · 2009
Earlier work this paper cites.
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, and Jiayu Zhou. 2020 · 2009
Earlier work this paper cites.
statsmodels: Econometric and statistical modeling with python. In 9th Python in Science Conference
Skipper Seabold and Josef Perktold. 2010 · 2010
Earlier work this paper cites.
Becoming Yellow : A Short History of Racial Thinking
Michael Keevak. 2011 · 2011
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning. In Proceedings of the fourteenth international conference on artificial intelligence and statistics . JMLR Workshop and Conference Proceedings, 627–635
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell. 2011 · 2011
Earlier work this paper cites.
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, and Andy Zeng. 2021 · 2012
Earlier work this paper cites.
Power to the people: The role of humans in interactive machine learning
Saleema Amershi, Maya Cakmak, William Bradley Knox, and Todd Kulesza. 2014 · 2014
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 · 2015
Earlier work this paper cites.
Social Justice-Oriented Interaction Design: Outlining Key Design Strategies and Commitments. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems (Brisbane, QLD, Australia) (DIS ’16) . Association for Computing Machinery, New York, NY, USA, 656–671
Lynn Dombrowski, Ellie Harmon, and Sarah Fox. 2016 · 2016
Earlier work this paper cites.
Stamped from the Beginning: The Definitive History of Racist Ideas in America
Ibram X Kendi. 2016 · 2016
Earlier work this paper cites.
Research Laboratory Safety
Daniel Reid Kuespert. 2016 · 2016
Earlier work this paper cites.
Weapons of math destruction : how big data increases inequality and threatens democracy (first edition. ed.)
Cathy O’Neil. 2016 · 2016
Earlier work this paper cites.
Technology and the virtues: A philosophical guide to a future worth wanting
Shannon Vallor. 2016 · 2016
Earlier work this paper cites.
Overcoming Challenges to Infusing Ethics into the Development of Engineers: Proceedings of a Workshop
Carl Anderson et al · 2017
Earlier work this paper cites.
Academic Ableism : Disability and Higher Education
Jay T Dolmage. 2017 · 2017
Earlier work this paper cites.
Safety-critical advanced robots: A survey
Jérémie Guiochet, Mathilde Machin, and Hélène Waeselynck. 2017 · 2017
Earlier work this paper cites.
Thinking about history
Sarah Maza. 2017 · 2017
Earlier work this paper cites.
The color of law : a forgotten history of how our government segregated America
Richard Rothstein. 2017 · 2017
Earlier work this paper cites.
Transgender history : the roots of today’s revolution / Susan Stryker. (second edition. ed.)
Susan Stryker. 2017 · 2017
Earlier work this paper cites.
Physiognomy’s New Clothes
Blaise Agüera y Arcas, Margaret Mitchell, and Alexander Todorov. 2017 · 2017
Earlier work this paper cites.
Two Axes of Subordination: A New Model of Racial Position
Linda X Zou and Sapna Cheryan. 2017 · 2017
Earlier work this paper cites.
When the Robot Doesn’t See Dark Skin
Joy Buolamwini. 2018 · 2018
Earlier work this paper cites.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (Proceedings of Machine Learning Research, Vol. 81) , Sorelle A. Friedler and Christo Wilson (Eds.). PMLR, New York, NY, USA, 77–91
Joy Buolamwini and Timnit Gebru. 2018 · 2018
Earlier work this paper cites.
Fast Policy Learning through Imitation and Reinforcement. In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018 , Amir Globerson and Ricardo Silva (Eds.). AUAI Press, 845–855
Ching-An Cheng, Xinyan Yan, Nolan Wagener, and Byron Boots. 2018 · 2018
Earlier work this paper cites.
Demographics and Dynamics of Mechanical Turk Workers. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining . 135–143
Djellel Difallah, Elena Filatova, and Panos Ipeirotis. 2018 · 2018
Earlier work this paper cites.
A Data-Driven Analysis of Workers’ Earnings on Amazon Mechanical Turk. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . 449
Kotaro Hara, Abigail Adams, Kristy Milland, Saiph Savage, Chris Callison-Burch, and Jeffrey P. Bigham. 2018 · 2018
Earlier work this paper cites.
The ugly truth about ourselves and our robot creations: the problem of bias and social inequity
Ayanna Howard and Jason Borenstein. 2018 · 2018
Earlier work this paper cites.
CORESafety TV: August 2018. National Mining Association (NMA)
NMA. 2018 · 2018
Earlier work this paper cites.
Algorithms of Oppression: How Search Engines Reinforce Racism
Safiya Umoja Noble. 2018 · 2018
Earlier work this paper cites.
Sexual Harassment of Women: Climate Culture and Consequences in Academic Sciences Engineering and Medicine. Consensus Study Report
National Academies of Sciences Engineering and Medicine. 2018 · 2018
Earlier work this paper cites.
Agile research to complement agile development: a proposal for an mHealth research lifecycle
Kumanan Wilson, Cameron Bell, Lindsay Wilson, and Holly Witteman. 2018 · 2018
Cited alongside, same era.
A life-threatening encounter with AI technology
Emily Ackerman. 2019 · 2019
Cited alongside, same era.
Race after technology : abolitionist tools for the New Jim Code
Ruha Benjamin. 2019 - 2019 · 2019
Cited alongside, same era.
Exploring the limitations of behavior cloning for autonomous driving. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 9329–9338
Felipe Codevilla, Eder Santana, Antonio M López, and Adrien Gaidon. 2019 · 2019
Cited alongside, same era.
Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass
Mary L Gray and Siddharth Suri. 2019 · 2019
Cited alongside, same era.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT ’21) . Association for Computing Machinery, New York, NY, USA, 610–623
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Later among the works it cites.
“It’s Complicated”: Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and Disability. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21) . Association for Computing Machinery, New York, NY, USA, Article 375, 19 pages
Cynthia L. Bennett, Cole Gleason, Morgan Klaus Scheuerman, Jeffrey P. Bigham, Anhong Guo, and Alexandra To. 2021 · 2021
Later among the works it cites.
Algorithmic injustice: a relational ethics approach
Abeba Birhane. 2021a · 2021
Later among the works it cites.
The Impossibility of Automating Ambiguity
Abeba Birhane. 2021b · 2021
Later among the works it cites.
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Kashmir Hill. 2019 · 2019
Cited alongside, same era.
How to be an antiracist (first edition. ed.)
Ibram X. Kendi. 2019 · 2019
Cited alongside, same era.
WeBuildAI: Participatory Framework for Algorithmic Governance
Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Alexandros Psomas, and Ariel D. Procaccia. 2019 · 2019
Cited alongside, same era.
All data are local : thinking critically in a data-driven society
Yanni A. (Yanni Alexander) Loukissas. 2019 - 2019 · 2019
Cited alongside, same era.
Black Software : the Internet and Racial Justice, from the AfroNet to Black Lives Matter
Charlton D. McIlwain. 2019 · 2019
Cited alongside, same era.
Model Cards for Model Reporting. In Proceedings of the Conference on Fairness, Accountability, and Transparency . 220–229
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019 · 2019
Cited alongside, same era.
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (Honolulu, HI, USA) (AIES ’19) . Association for Computing Machinery, New York, NY, USA, 429–435
Inioluwa Deborah Raji and Joy Buolamwini. 2019 · 2019
Cited alongside, same era.
Large image datasets: A pyrrhic win for computer vision?. In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) . 1536–1546
Abeba Birhane and Vinay Uday Prabhu. 2021 · 2021
Later among the works it cites.
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, and Emmanuel Kahembwe. 2021b · 2021
Later among the works it cites.
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, and Percy Liang. 2021 · 2021
Later among the works it cites.
Normative roboticists: the visions and values of technical robotics papers. In 2021 30th IEEE International Conference on Robot Human Interactive Communication (RO-MAN) . 671–677
Martim Brandão. 2021 · 2021
Later among the works it cites.
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139) , Marina Meila and Tong Zhang (Eds.). PMLR, 1373–1383
Johan Samir Obando Ceron and Pablo Samuel Castro. 2021 · 2021
Later among the works it cites.
The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Kate Crawford. 2021 · 2021
Later among the works it cites.
Service Robots in Catering Applications: A Review and Future Challenges
Juan Miguel Garcia-Haro, Edwin Daniel Oña, Juan Hernandez-Vicen, Santiago Martinez, and Carlos Balaguer. 2021 · 2021
Later among the works it cites.
Ethics in the Software Development Process: from Codes of Conduct to Ethical Deliberation
Jan Gogoll, Niina Zuber, Severin Kacianka, Timo Greger, Alexander Pretschner, and Julian Nida-Rümelin. 2021 · 2021
Later among the works it cites.
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, and Ingmar Posner. 2021 · 2021
Later among the works it cites.
Effective Visual Robot Learning: Reduce, Reuse, Recycle
Andrew Hundt. 2021 · 2021
Later among the works it cites.
”Good Robot! Now Watch This!”: Repurposing Reinforcement Learning for Task-to-Task Transfer. In 5th Annual Conference on Robot Learning
Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew Gombolay, and Gregory D. Hager. 2021 · 2021
Later among the works it cites.
Simple but Effective: CLIP Embeddings for Embodied AI
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, and Aniruddha Kembhavi. 2021 · 2021
Later among the works it cites.
How Data Can Be Used Against People: A Classification of Personal Data Misuses
Jacob Leon Kröger, Milagros Miceli, and Florian Müller. 2021 · 2021
Later among the works it cites.
Understanding the World Through Action. In 5th Annual Conference on Robot Learning, Blue Sky Submission Track
Sergey Levine. 2021 · 2021
Later among the works it cites.
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021 · 2021
Later among the works it cites.
“It Cannot Do All of My Work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India
Chinasa T. Okolo, Srujana Kamath, Nicola Dell, and Aditya Vashistha. 2021 · 2021
Later among the works it cites.
Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139) , Marina Meila and Tong Zhang (Eds.). PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
Later among the works it cites.
AI and the Everything in the Whole Wide World Benchmark. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)
Inioluwa Deborah Raji, Emily Denton, Emily M. Bender, Alex Hanna, and Amandalynne Paullada. 2021 · 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 · 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 · 2021
Later among the works it cites.
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency . 850–861
Hong Shen, Wesley H Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, and Haiyi Zhu. 2021 · 2021
Later among the works it cites.
CLIPort: What and Where Pathways for Robotic Manipulation. In 5th Annual Conference on Robot Learning
Mohit Shridhar, Lucas Manuelli, and Dieter Fox. 2021 · 2021
Later among the works it cites.
LanCon-Learn: Learning with Language to Enable Generalization in Multi-Task Manipulation
Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, and Matthew Gombolay. 2021 · 2021
Later among the works it cites.
Physiognomic Artificial Intelligence
Luke Stark and Jevan Hutson. 2021 · 2021
Later among the works it cites.
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. In 5th Annual Conference on Robot Learning
Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew Gombolay, and Gregory D. Hager. 2021 · 2021
Later among the works it cites.
Language Grounding with 3D Objects. In 5th Annual Conference on Robot Learning
Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, and Luke Zettlemoyer. 2021 · 2021
Later among the works it cites.
Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law
S Wachter, B Mittelstadt, and C Russell. 2021 · 2021
Later among the works it cites.
SORNet: Spatial Object-Centric Representations for Sequential Manipulation. In 5th Annual Conference on Robot Learning
Wentao Yuan, Chris Paxton, Karthik Desingh, and Dieter Fox. 2021 · 2021
Later among the works it cites.
Evaluation of Socially-Aware Robot Navigation
Yuxiang Gao and Chien-Ming Huang. 2022 · 2022
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Mapping Inequality
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