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Algorithmic fairness has conventionally adopted the mathematically convenient perspective of racial color-blindness (i.e., difference unaware treatment).
A theory of justice
John Rawls. 1971 · 1971
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Symbolic racism
John B. McConahay and Joseph C. Hough Jr. 1976 · 1976
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Cm-625 bona fide occupational qualifications
U.S. EEOC. 1982 · 1982
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Public response to racist speech: Considering the victim’s story
Mari J. Matsuda. 1989 · 1989
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Borrowed power: Essays on cultural appropriation
Bruce H. Ziff and Pratima V. Rao. 1997 · 1997
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Justice-based opposition to social policies: Is it genuine?
Ramona D. Bobocel, Leanne S. Son Hing, Liane M. Davey, David J. Stanley, and Mark P. Zanna. 1998 · 1998
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The meritocracy myth and the illusion of equal employment opportunity
Anne Lawton. 2000 · 2000
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The american civil rights tradition: Anticlassification or antisubordination?
Jack M. Balkin and Reva B. Siegel. 2003 · 2003
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Racism without racists: Color-blind racism and the persistence of racial inequality in the united states
Eduardo Bonilla-Silva. 2003 · 2003
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From cultural exchange to transculturation: A review and reconceptualization of cultural appropriation
Richard A. Rogers. 2006 · 2006
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Beyond contact: intergroup contact in the context of power relations
Tamar Saguy, John F Dovidio, and Felicia Pratto. 2008 · 2008
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Measuring and reducing gendered correlations in pre-trained models
Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Ed Chi, and Slav Petrov. 2020 · 2010
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When is discrimination wrong?
Deborah Hellman. 2011 · 2011
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Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Rich Zemel. 2012 · 2012
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Machine learning that matters
Kiri Wagstaff. 2012 · 2012
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Color-blind racial ideology: theory, training, and measurement implications in psychology
Helen A. Neville, Germine H. Awad, James E. Brooks, Michelle P. Flores, and Jamie Bluemel. 2013 · 2013
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Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, and Nathan Srebro. 2016 · 2016
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Using cluster bootstrapping to analyze nested data with a few clusters
Francis L. Huang. 2016 · 2016
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Gender-blind sexism and rape myth acceptance
Laurie Cooper Stoll, Terry Glenn Lilley, and Kelly Pinter. 2016 · 2016
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Counterfactual fairness
Matt J. Kusner, Joshua R. Loftus, Chris Russell, and Ricardo Silva. 2017 · 2017
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Examining gender and race bias in two hundred sentiment analysis systems
Svetlana Kiritchenko and Saif M. Mohammad. 2018 · 2018
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Does mitigating ml’s impact disparity require treatment disparity?
Zachary C. Lipton, Alexandra Chouldechova, and Julian McAuley. 2018 · 2018
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Gender bias in coreference resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018 · 2018
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Introducing the "religious minorities at risk" dataset
Matthias Basedau, Jonathan Fox, Christopher Huber, Arne Pieters, Tom Konzack, and Mora Deitch. 2019 · 2019
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On measuring social biases in sentence encoders
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, and Rachel Rudinger. 2019 · 2019
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The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
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Unmasking contextual stereotypes: Measuring and mitigating BERT’s gender bias
Marion Bartl, Malvina Nissim, and Albert Gatt. 2020 · 2020
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Language (technology) is power: A critical survey of “bias” in nlp
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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With little power comes great responsibility
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, and Dan Jurafsky. 2020 · 2020
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Affirmative algorithms: The legal grounds for fairness as awareness
Daniel E. Ho and Alice Xiang. 2020 · 2020
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Reducing sentiment bias in language models via counterfactual evaluation
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack W. Rae, Vishal Maini, Dani Yogatama, and Pushmeet Kohli. 2020 · 2020
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Pride and prejudiced: On the reclamation of slurs
Robin Jeshion. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
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UnQovering stereotyping biases via underspecified questions
Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, and Vivek Srikumar. 2020 · 2020
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CrowS-Pairs: A challenge dataset for measuring social biases in masked language models
Nikita Nangia, Clara Vania, Rasika Bhalerao, and Samuel R. Bowman. 2020 · 2020
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Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. 2020 · 2020
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Mitigating language-dependent ethnic bias in BERT
Jaimeen Ahn and Alice Oh. 2021 · 2021
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Redditbias: A real-world resource for bias evaluation and debiasing of conversational language models
Soumya Barikeri, Anne Lauscher, Ivan Vulić, and Goran Glavaš. 2021 · 2021
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“it’s complicated”’: Negotiating accessibility and (mis)representation in image descriptions of race, gender, and disability
Cynthia L. Bennett, Cole Gleason, Morgan Klaus Scheuerman, Jeffrey P. Bigham, Anhong Guo, and Alexandra To. 2021 · 2021
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Stereotyping norwegian salmon: An inventory of pitfalls in fairness benchmark datasets
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach. 2021 · 2021
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Holistic evaluation of language models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, and Yuta Koreeda. 2023 · 2023
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“i’m fully who i am”: Towards centering transgender and non-binary voices to measure biases in open language generation
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard Zemel, and Rahul Gupta. 2023 · 2023
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Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, and William Yang Wang. 2023 · 2023
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Is hate speech detection the solution the world wants?
Sara Parker and Derek Ruths. 2023 · 2023
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BOLD: Dataset and metrics for measuring biases in open-ended language generation
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, and Rahul Gupta. 2021 · 2021
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2021 · 2021
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Bias out-of-the-box: An empirical analysis of intersectional occupational biases in popular generative language models
Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frederic A. Dreyer, Aleksandar Shtedritski, and Yuki M. Asano. 2021 · 2021
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Towards understanding and mitigating social biases in language models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2021 · 2021
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Stereoset: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2021 · 2021
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HONEST: Measuring hurtful sentence completion in language models
Debora Nozza, Federico Bianchi, and Dirk Hovy. 2021 · 2021
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Re-imagining algorithmic fairness in india and beyond
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, and Vinodkumar Prabhakaran. 2021 · 2021
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Students for fair admissions v. harvard
Students for Fair Admissions v. Harvard · 2023
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Evaluating and mitigating discrimination in language model decisions
Alex Tamkin, Amanda Askell, Liane Lovitt, Esin Durmus, Nicholas Joseph, Shauna Kravec, Karina Nguyen, Jared Kaplan, and Deep Ganguli. 2023 · 2023
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Automated ableism: An exploration of explicit disability biases in sentiment and toxicity analysis models
Pranav Narayanan Venkit, Mukund Srinath, and Shomir Wilson. 2023 · 2023
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"kelly is a warm person, joseph is a role model": Gender biases in llm-generated reference letters
Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, and Nanyun Peng. 2023 · 2023
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DecodingTrust: A comprehensive assessment of trustworthiness in gpt models
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Sanmi Koyejo Yu Cheng, Dawn Song, and Bo Li. 2023 · 2023
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The claude 3 model family: Opus, sonnet, haiku
Anthropic. 2024 · 2024
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Measuring implicit bias in explicitly unbiased large language models
Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, and Thomas L. Griffiths. 2024 · 2024
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Gpt is not an annotator: The necessity of human annotation in fairness benchmark construction
Virginia K. Felkner, Jennifer A. Thompson, and Jonathan May. 2024 · 2024
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Self-debiasing large language models: Zero-shot recognition and reduction of stereotypes
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, and Franck Dernoncourt. 2024 · 2024
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